Goethe University Frankfurt

All Publications

2017

  • Niño, M., Zicari, R. V., Ivanov, T., Hee, K., Mushtaq, N., Rosselli, M., Sánchez-Ocaña, C., Tolle, K., Blanco, J. M., Illarramendi, A., Besier, J., & Underwood, H.. (2017). Data Projects for “Social Good”: Challenges and Opportunities. International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering, 11(5), 885-895.
    [Bibtex]
    @article{10006923,
      title    = {Data Projects for “Social Good”: Challenges and Opportunities},
      author    = {Mikel Niño and  Roberto V. Zicari and  Todor Ivanov and  Kim Hee and  Naveed Mushtaq and  Marten Rosselli and  Concha Sánchez-Ocaña and  Karsten Tolle and  José Miguel Blanco and  Arantza Illarramendi and  Jörg Besier and  Harry Underwood},
      country   = {Spain},
      institution={University of the Basque Country},
      abstract  = {One of the application fields for data analysis techniques and technologies gaining momentum is the area of social good or “common good”, covering cases related to humanitarian crises, global health care, or ecology and environmental issues, among others. The promotion of data-driven projects in this field aims at increasing the efficacy and efficiency of social initiatives, improving the way these actions help humanity in general and people in need in particular. This application field, however, poses its own barriers and challenges when developing data-driven projects, lagging behind in comparison with other scenarios. These challenges derive from aspects such as the scope and scale of the social issue to solve, cultural and political barriers, the skills of main stakeholders and the technological resources available, the motivation to be engaged in such projects, or the ethical and legal issues related to sensitive data. This paper analyzes the application of data projects in the field of social good, reviewing its current state and noteworthy initiatives, and presenting a framework covering the key aspects to analyze in such projects. The goal is to provide guidelines to understand the main challenges and opportunities for this type of data project, as well as identifying the main differential issues compared to “classical” data projects in general. A case study is presented on the initial steps and stakeholder analysis of a data project for the inclusion of refugees in the city of Frankfurt, Germany, in order to empirically confront the framework with a real example.},
      journal   = {International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering},  volume    = {11},
      number    = {5},
      year      = {2017},
      pages     = {885 - 895},
      ee        = {http://waset.org/publications/10006923},
      url       = {http://waset.org/Publications?p=125},
      bibsource = {http://waset.org/Publications},
      issn      = {PISSN:2010-376X, EISSN:2010-3778},
      publisher = {World Academy of Science, Engineering and Technology},
      index     = {International Science Index 125, 2017},
    }
  • Niño, M., Zicari, R. V., Ivanov, T., Hee, K., Mushtaq, N., Rosselli, M., Sánchez-Ocaña, C., Tolle, K., Blanco, J. M., Illarramendi, A., Besier, J., & Underwood, H.. (2017). Data Projects for Social Good: Challenges and Opportunities. ICCSS 2017: International Conference on Computational Social Science, Amsterdam, The Netherlands, (May 14-15, 2017), 3(5), 3102.
    [Bibtex]
    @article{ICCSS2017,
      author    = {Mikel Niño and  Roberto V. Zicari and  Todor Ivanov and  Kim Hee and  Naveed Mushtaq and  Marten Rosselli and  Concha Sánchez-Ocaña and  Karsten Tolle and  José Miguel Blanco and  Arantza Illarramendi and  Jörg Besier and  Harry Underwood},
      country   = {Spain},
      title     = {Data Projects for Social Good: Challenges and Opportunities},
      abstract  = {One of the application fields for data analysis techniques and technologies gaining momentum is the area of social good or 'common good', covering cases related to humanitarian crises, global health care, or ecology and environmental issues, among others. The promotion of data-driven projects in this field aims at increasing the efficacy and efficiency of social initiatives, improving the way these actions help humanity in general and people in need in particular. This application field, however, poses its own barriers and challenges when developing data-driven projects, lagging behind in comparison with other scenarios. These challenges derive from aspects such as the scope and scale of the social issue to solve, cultural and political barriers, the skills of main stakeholders and the technological resources available, the motivation to be engaged in such projects, or the ethical and legal issues related to sensitive data. This paper analyzes the application of data projects in the field of social good, reviewing its current state and noteworthy initiatives, and presenting a framework covering the key aspects to analyze in such projects. The goal is to provide guidelines to understand the main challenges and opportunities for this type of data projects, as well as identifying the main differential issues compared to “classical” data projects in general. A case study is presented on the initial steps and stakeholder analysis of a data project for the inclusion of refugees in the city of Frankfurt, Germany, in order to empirically confront the framework with a real example.},
      keywords  = {data-driven projects, humanitarian operations, personal and sensitive data, social good, stakeholders analysis},
      volume    = {3},
      number    = {5},
      year      = {2017},
      pages     = {3102},
      ee        = {http://waset.org/abstracts/62394},
      url       = {http://waset.org/abstracts/62394},
      bibsource = {http://waset.org/abstracts},
      journal={ICCSS 2017: International Conference on Computational Social Science, Amsterdam, The Netherlands, (May 14-15,  2017)},
      conference = {ICCSS 2017: International Conference on Computational Social Science, Amsterdam, The Netherlands, (May 14-15,  2017)},
      issn      = {PISSN:2010-376X, EISSN:2010-3778},
      publisher = {World Academy of Science, Engineering and Technology},
      index     = {International Science Index, Humanities and Social Sciences,  4(5) 2016},
    }
  • Helbing, D., Frey, B. S., Gigerenzer, G., Hafen, E., Hagner, M., Hofstetter, Y., van den Hoven, J., Zicari, R. V., & Zwitter, A.. (2017). Will Democracy Survive Big Data and Artificial Intelligence?. Scientific American (February 25, 2017).
    [Bibtex]
    @article{SciAmerica2017,
    author    = { Dirk Helbing and Bruno S. Frey and Gerd Gigerenzer and Ernst Hafen  and Michael Hagner and Yvonne Hofstetter and Jeroen van den Hoven and Roberto V. Zicari and Andrej Zwitter},
    title     = {Will Democracy Survive Big Data and Artificial Intelligence?},
    url       = {https://www.scientificamerican.com/article/will-democracy-survive-big-data-and-artificial-intelligence/},
    year      = {2017},
    journal    = {Scientific American (February 25, 2017)},
    }
  • Ghazal, A., Ivanov, T., Kostamaa, P., Crolotte, A., Voong, R., Al-Kateb, M., Ghazal, W., & Zicari, R.. (2017). BigBench V2: The New and Improved BigBench. In 33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, California, USA, April 19-22, 2017 .
    [Bibtex]
    @incollection{ICDE2017ivanov,
      title={BigBench V2: The New and Improved BigBench},
      author={Ahmad Ghazal and Todor Ivanov and Pekka Kostamaa and Alain Crolotte and Ryan Voong and Mohammed Al-Kateb and Waleed Ghazal and Roberto Zicari},
      booktitle = {33rd {IEEE} International Conference on Data Engineering, {ICDE} 2017,
                   San Diego, California, USA, April 19-22, 2017},
      year={2017},
      url={http://archaeopress.com/ArchaeopressShop/Public/displayProductDetail.asp?id={27710CAF-069B-43D3-A53B-4BB1A293F456}}
    }

2016

  • [DOI] Ivanov, T., Izberovic, S., & Korfiatis, N.. (2016). The Heterogeneity Paradigm in Big Data Architectures. In Managing and Processing Big Data in Cloud Computing (pp. 218-245). IGI Global.
    [Bibtex]
    @incollection{2016_IGI_Ivanov,
      doi = {10.4018/978-1-4666-9767-6.ch015},
      url = {http://dx.doi.org/10.4018/978-1-4666-9767-6.ch015},
      publisher = {{IGI} Global},
      pages = {218--245},
      year = {2016},
      author = {Todor Ivanov and Sead Izberovic and Nikolaos Korfiatis},
      title = {The Heterogeneity Paradigm in Big Data Architectures},
      booktitle = {Managing and Processing Big Data in Cloud Computing}
    }
  • [DOI] Zicari, R. V., Rosselli, M., Ivanov, T., Korfiatis, N., Tolle, K., Niemann, R., & Reichenbach, C.. (2016). Big Data Optimization: Recent Developments and Challenges. In Emrouznejad, A. (Ed.), (, pp. 17-47). Cham: Springer International Publishing.
    [Bibtex]
    @Inbook{Zicari2016,
    author="Zicari, Roberto V.
    and Rosselli, Marten
    and Ivanov, Todor
    and Korfiatis, Nikolaos
    and Tolle, Karsten
    and Niemann, Raik
    and Reichenbach, Christoph",
    editor="Emrouznejad, Ali",
    chapter="Setting Up a Big Data Project: Challenges, Opportunities, Technologies and Optimization",
    title="Big Data Optimization: Recent Developments and Challenges",
    year="2016",
    publisher="Springer International Publishing",
    address="Cham",
    pages="17--47",
    isbn="978-3-319-30265-2",
    doi="10.1007/978-3-319-30265-2_2",
    url="http://dx.doi.org/10.1007/978-3-319-30265-2_2"
    }
  • Tolle, K., & Wigg-Wolf, D.. (2016). How to move from Relational to Linked Open Data 5 Star – a numismatic example. Paper presented at the Proceedings of the 43rd Annual Conference on Computer Applications and Quantitative Methods in Archaeology, CAA 2015 Siena.
    [Bibtex]
    @inproceedings{caa2016tolle,
      title={How to move from Relational to Linked Open Data 5 Star - a numismatic example},
      author={Karsten Tolle and David Wigg-Wolf},
      booktitle={Proceedings of the 43rd Annual Conference on Computer Applications and Quantitative Methods in Archaeology, CAA 2015 Siena},
      pages={275--282},
      isbn = {978-1-78491-338-9},
      year={2016},
      url={http://archaeopress.com/ArchaeopressShop/Public/displayProductDetail.asp?id={27710CAF-069B-43D3-A53B-4BB1A293F456}}
    }
  • Hee, K., Zicari, R. V., & Tolle, K.. (2016). Tailored Data Science Education using Gamification. Paper presented at the 3rd RDA Workshop on Curricula and Teaching Methods in Cloud Computing, Big Data, and Data Science as part of the 8th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2016, Luxembourg, December 12, 2016.
    [Bibtex]
    @inproceedings{IEE2016kim,
      title={Tailored Data Science Education using Gamification},
      author={Kim Hee and {Roberto V.} Zicari and Karsten Tolle},
      booktitle={3rd RDA Workshop on Curricula and Teaching Methods in Cloud Computing, Big Data, and Data Science as part of  the 8th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2016, Luxembourg, December 12, 2016},
      year={2016},
      url={http://2016cloudcom.ux.uis.no/conf/workshops/data_teaching.html}
    }

2015

  • Niemann, R., & Ivanov, T.. (2015). Modelling the Performance, Energy Consumption and Efficiency of Data Management Systems. Paper presented at the 45. Jahrestagung der Gesellschaft für Informatik, Informatik 2015, Informatik, Energie und Umwelt, 28. September – 2. Oktober 2015 in Cottbus, Deutschland.
    [Bibtex]
    @inproceedings{DBLP:conf/gi/NiemannI15,
      author    = {Raik Niemann and
                   Todor Ivanov},
      title     = {Modelling the Performance, Energy Consumption and Efficiency of Data
                   Management Systems},
      booktitle = {45. Jahrestagung der Gesellschaft f{\"{u}}r Informatik, Informatik
                   2015, Informatik, Energie und Umwelt, 28. September - 2. Oktober 2015
                   in Cottbus, Deutschland},
      pages     = {1183--1194},
      year      = {2015},
      crossref  = {DBLP:conf/gi/2015},
      url       = {http://subs.emis.de/LNI/Proceedings/Proceedings246/article161.html},
      timestamp = {Tue, 15 Mar 2016 10:22:59 +0100},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/gi/NiemannI15},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • [DOI] Rosselli, M., Niemann, R., Ivanov, T., Tolle, K., & Zicari, R. V.. (2015). Benchmarking the Availability and Fault Tolerance of Cassandra. Paper presented at the Big Data Benchmarking – 6th International Workshop, WBDB 2015, Toronto, ON, Canada, June 16-17, 2015 and 7th International Workshop, WBDB 2015, New Delhi, India, December 14-15, 2015, Revised Selected Papers.
    [Bibtex]
    @inproceedings{RosselliNITZ15,
      author    = {Marten Rosselli and
                   Raik Niemann and
                   Todor Ivanov and
                   Karsten Tolle and
                   Roberto V. Zicari},
      title     = {Benchmarking the Availability and Fault Tolerance of Cassandra},
      booktitle = {Big Data Benchmarking - 6th International Workshop, {WBDB} 2015, Toronto,
                   ON, Canada, June 16-17, 2015 and 7th International Workshop, {WBDB}
                   2015, New Delhi, India, December 14-15, 2015, Revised Selected Papers},
      pages     = {87--95},
      year      = {2015},
      crossref  = {DBLP:conf/wbdb/2015},
      url       = {http://dx.doi.org/10.1007/978-3-319-49748-8_5},
      doi       = {10.1007/978-3-319-49748-8_5},
      timestamp = {Sat, 03 Dec 2016 12:07:59 +0100},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/wbdb/RosselliNITZ15},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • [DOI] Niemann, R., & Ivanov, T.. (2015). Evaluating the Energy Efficiency of Data Management Systems. Paper presented at the 4th IEEE/ACM International Workshop on Green and Sustainable Software, GREENS 2015, Florence, Italy, May 18, 2015.
    [Bibtex]
    @inproceedings{NiemannI15,
      author    = {Raik Niemann and
                   Todor Ivanov},
      title     = {Evaluating the Energy Efficiency of Data Management Systems},
      booktitle = {4th {IEEE/ACM} International Workshop on Green and Sustainable Software,
                   {GREENS} 2015, Florence, Italy, May 18, 2015},
      pages     = {22--28},
      year      = {2015},
      crossref  = {DBLP:conf/greens/2015},
      url       = {http://dx.doi.org/10.1109/GREENS.2015.11},
      doi       = {10.1109/GREENS.2015.11},
      timestamp = {Tue, 03 May 2016 16:44:56 +0200},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/greens/NiemannI15},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • [DOI] Niemann, R.. (2015). Evaluating the Performance and Energy Consumption of Distributed Data Management Systems. Paper presented at the 2015 IEEE 10th International Conference on Global Software Engineering Workshops, ICGSE Workshops, Ciudad Real, Spain, July 13, 2015.
    [Bibtex]
    @inproceedings{Niemann15,
      author    = {Raik Niemann},
      title     = {Evaluating the Performance and Energy Consumption of Distributed Data
                   Management Systems},
      booktitle = {2015 {IEEE} 10th International Conference on Global Software Engineering
                   Workshops, {ICGSE} Workshops, Ciudad Real, Spain, July 13, 2015},
      pages     = {27--34},
      year      = {2015},
      crossref  = {DBLP:conf/icgse/2015w},
      url       = {http://dx.doi.org/10.1109/ICGSEW.2015.14},
      doi       = {10.1109/ICGSEW.2015.14},
      timestamp = {Tue, 04 Oct 2016 11:37:06 +0200},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/icgse/Niemann15},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • [DOI] Korfiatis, N., Zicari, R., & Lytras, M. D.. (2015). Gender effects and cooperation styles in the Facebook community: A quasi-experimental assessment. Computers in Human Behavior, 48, 44-50.
    [Bibtex]
    @article{DBLP:journals/chb/KorfiatisZL15,
      author    = {Nikolaos Korfiatis and
                   Roberto Zicari and
                   Miltiadis D. Lytras},
      title     = {Gender effects and cooperation styles in the Facebook community: A quasi-experimental assessment},
      journal   = {Computers in Human Behavior},
      volume    = {48},
      pages     = {44--50},
      year      = {2015},
      url       = {http://dx.doi.org/10.1016/j.chb.2014.11.065},
      doi       = {10.1016/j.chb.2014.11.065},
      timestamp = {Tue, 21 Apr 2015 15:27:53 +0200},
      biburl    = {http://dblp.uni-trier.de/rec/bib/journals/chb/KorfiatisZL15},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • [DOI] Ivanov, T., Niemann, R., Izberovic, S., Rosselli, M., Tolle, K., & Zicari, R. V.. (2015). Performance Evaluation of Enterprise Big Data Platforms with HiBench. Paper presented at the 2015 IEEE TrustCom/BigDataSE/ISPA, Helsinki, Finland, August 20-22, 2015, Volume 2.
    [Bibtex]
    @inproceedings{IvanovNIRTZ15,
      author    = {Todor Ivanov and
                   Raik Niemann and
                   Sead Izberovic and
                   Marten Rosselli and
                   Karsten Tolle and
                   Roberto V. Zicari},
      title     = {Performance Evaluation of Enterprise Big Data Platforms with HiBench},
      booktitle = {2015 {IEEE} TrustCom/BigDataSE/ISPA, Helsinki, Finland, August 20-22,
                   2015, Volume 2},
      pages     = {120--127},
      year      = {2015},
      crossref  = {DBLP:conf/trustcom/2015-2},
      url       = {http://dx.doi.org/10.1109/Trustcom.2015.570},
      doi       = {10.1109/Trustcom.2015.570},
      timestamp = {Thu, 10 Dec 2015 20:18:33 +0100},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/trustcom/IvanovNIRTZ15},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • [DOI] Ivanov, T., & Beer, M.. (2015). Performance Evaluation of Spark SQL Using BigBench. Paper presented at the Big Data Benchmarking – 6th International Workshop, WBDB 2015, Toronto, ON, Canada, June 16-17, 2015 and 7th International Workshop, WBDB 2015, New Delhi, India, December 14-15, 2015, Revised Selected Papers.
    [Bibtex]
    @inproceedings{IvanovB15,
      author    = {Todor Ivanov and
                   Max{-}Georg Beer},
      title     = {Performance Evaluation of Spark {SQL} Using BigBench},
      booktitle = {Big Data Benchmarking - 6th International Workshop, {WBDB} 2015, Toronto,
                   ON, Canada, June 16-17, 2015 and 7th International Workshop, {WBDB}
                   2015, New Delhi, India, December 14-15, 2015, Revised Selected Papers},
      pages     = {96--116},
      year      = {2015},
      crossref  = {DBLP:conf/wbdb/2015},
      url       = {http://dx.doi.org/10.1007/978-3-319-49748-8_6},
      doi       = {10.1007/978-3-319-49748-8_6},
      timestamp = {Sat, 03 Dec 2016 12:07:59 +0100},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/wbdb/IvanovB15},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • [DOI] Ivanov, T., Rabl, T., Poess, M., Queralt, A., Poelman, J., Poggi, N., & Buell, J.. (2015). Big Data Benchmark Compendium. Paper presented at the Performance Evaluation and Benchmarking: Traditional to Big Data to Internet of Things – 7th TPC Technology Conference, TPCTC 2015, Kohala Coast, HI, USA, August 31 – September 4, 2015. Revised Selected Papers.
    [Bibtex]
    @inproceedings{IvanovRPQPPB15,
      author    = {Todor Ivanov and
                   Tilmann Rabl and
                   Meikel Poess and
                   Anna Queralt and
                   John Poelman and
                   Nicol{\'{a}}s Poggi and
                   Jeffrey Buell},
      title     = {Big Data Benchmark Compendium},
      booktitle = {Performance Evaluation and Benchmarking: Traditional to Big Data to
                   Internet of Things - 7th {TPC} Technology Conference, {TPCTC} 2015,
                   Kohala Coast, HI, USA, August 31 - September 4, 2015. Revised Selected
                   Papers},
      pages     = {135--155},
      year      = {2015},
      crossref  = {DBLP:conf/tpctc/2015},
      url       = {http://dx.doi.org/10.1007/978-3-319-31409-9_9},
      doi       = {10.1007/978-3-319-31409-9_9},
      timestamp = {Mon, 21 Mar 2016 13:26:27 +0100},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/tpctc/IvanovRPQPPB15},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • Zicari, R. V.. (2015). Big Data – Chancen und Herausforderungen. UniReport, Goethe-Universität Frankfurt am Main (5).
    [Bibtex]
    @article{UniReport,
    title = "Big Data – Chancen und Herausforderungen",
    author = "Roberto V. Zicari",
    url = {http://www.unireport.info/58412529/Unireport_5-15.pdf},
    year = "2015",
    month = "8. Oktober",
    journal = "UniReport, Goethe-Universität Frankfurt am Main ",
    number = "5",
    }
  • [DOI] (2015). Big Data Benchmarks, Performance Optimization, and Emerging Hardware – 6th Workshop, BPOE 2015, Kohala, HI, USA, August 31 – September 4, 2015. Revised Selected Papers. Springer.
    [Bibtex]
    @proceedings{bpoe2015,
      editor    = {Jianfeng Zhan and
                   Rui Han and
                   Roberto V. Zicari},
      title     = {Big Data Benchmarks, Performance Optimization, and Emerging Hardware
                   - 6th Workshop, {BPOE} 2015, Kohala, HI, USA, August 31 - September
                   4, 2015. Revised Selected Papers},
      series    = {Lecture Notes in Computer Science},
      volume    = {9495},
      publisher = {Springer},
      year      = {2015},
      url       = {http://dx.doi.org/10.1007/978-3-319-29006-5},
      doi       = {10.1007/978-3-319-29006-5},
      isbn      = {978-3-319-29005-8},
      timestamp = {Thu, 28 Jan 2016 13:52:12 +0100},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/bpoe/2015},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • Ivanov, T., & Izberovic, S.. (2015). Evaluating Hadoop Clusters with TPCx-HS. Frankfurt Big Data Laboratory Technical Paper.
    [Bibtex]
    @UNPUBLISHED{TR-No2015-1,
      author = {Todor Ivanov and Sead Izberovic},
      title = {{Evaluating Hadoop Clusters with TPCx-HS}},
      month = {September},
      publisher={Frankfurt Big Data Laboratory Technical Paper},
      abstract = {The growing complexity and variety of Big Data platforms makes it both difficult and time
    consuming for all system users to properly setup and operate the systems. Another challenge is to
    compare the platforms in order to choose the most appropriate one for a particular application.
    All these factors motivate the need for a standardized Big Data benchmark that can help the users
    in the process of platform evaluation. Just recently TPCx-HS [1][2] has been released as the first
    standardized Big Data benchmark designed to stress test a Hadoop cluster.
    The goal of this study is to evaluate and compare how the network setup influences the
    performance of a Hadoop cluster. In particular, experiments were performed using shared and
    dedicated 1Gbit networks utilized by the same Cloudera Hadoop Distribution (CDH) cluster
    setup. The TPCx-HS benchmark, which is very network intensive, was used to stress test and
    compare both cluster setups. All the presented results are obtained by using the officially
    available version [1] of the benchmark, but they are not comparable with the officially reported
    results and are meant as an experimental evaluation, not audited by any external organization. As
    expected the dedicated 1Gbit network setup performed much faster than the shared 1Gbit setup.
    However, what was surprising is the negligible price difference between both cluster setups,
    which pays off with a multifold performance return.},
      keywords={Benchmarking, Hadoop, TPCx-HS, Big Data},
      url={http://arxiv.org/ftp/arxiv/papers/1509/1509.03486.pdf},
      year = {2015}
    }
  • Helbing, D., Frey, B. S., Gigerenzer, G., Hafen, E., Hofstetter, Y., van den Hoven, J., Zicari, R. V., Zwitter, A., & Hagner, M.. (2015). Eine Strategie für das digitale Zeitalter. Spektrum der Wissenschaft, 15(12).
    [Bibtex]
    @article{688b55bf188845bcaf284feb1f9d4202,
    title = "Eine Strategie für das digitale Zeitalter",
    author = "Dirk Helbing and Frey, {Bruno S.} and Gerd Gigerenzer and Ernst Hafen and Yvonne Hofstetter and {van den Hoven}, Jeroen and Zicari, {Roberto V.} and Andrej Zwitter and Michael Hagner",
    year = "2015",
    month = "11",
    volume = "15",
    journal = "Spektrum der Wissenschaft",
    issn = "0170-2971",
    number = "12",
    }
  • Helbing, D., Frey, B. S., Gigerenzer, G., Hafen, E., Hagner, M., Hofstetter, Y., van den Hoven, J., Zicari, R. V., & Zwitter, A.. (2015). Digitale Demokratie statt Datendiktatur: Big Data, Nudging, Verhaltenssteuerung. Spektrum der Wissenschaft, 15(12).
    [Bibtex]
    @article{3c9c38f74ee24f7992ebe95778d1c600,
    title = "Digitale Demokratie statt Datendiktatur: Big Data, Nudging, Verhaltenssteuerung",
    author = "Dirk Helbing and Frey, {Bruno S.} and Gerd Gigerenzer and Ernst Hafen and Michael Hagner and Yvonne Hofstetter and {van den Hoven}, Jeroen and Zicari, {Roberto V.} and Andrej Zwitter",
    year = "2015",
    month = "11",
    volume = "15",
    journal = "Spektrum der Wissenschaft",
    issn = "0170-2971",
    number = "12",
    }
  • Zwitter, A., & Zicari, R. V.. (2015). Big Data zum Nutzen von Gesellschaft und Menschheit. Spektrum der Wissenschaft, 15(12).
    [Bibtex]
    @article{f6aea0183c94412db1b09274ae49b9d5,
    title = "Big Data zum Nutzen von Gesellschaft und Menschheit",
    author = "Andrej Zwitter and Zicari, {Roberto V.}",
    year = "2015",
    month = "11",
    volume = "15",
    journal = "Spektrum der Wissenschaft",
    issn = "0170-2971",
    number = "12",
    }
  • Ivanov, T., & Beer, M.. (2015). Evaluating Hive and Spark SQL with BigBench. Frankfurt Big Data Laboratory Technical Paper.
    [Bibtex]
    @UNPUBLISHED{TR-No2015-2,
      author = {Todor Ivanov and Max-Georg Beer},
      title = {{Evaluating Hive and Spark SQL with BigBench}},
      month = {December},
      publisher={Frankfurt Big Data Laboratory Technical Paper},
      abstract = {The objective of this work was to utilize BigBench [1] as a Big Data benchmark and evaluate and compare two processing engines: MapReduce [2] and Spark [3]. MapReduce is the established engine for processing data on Hadoop. Spark is a popular alternative engine that promises faster processing times than the established MapReduce engine. BigBench was chosen for this comparison because it is the first end-to-end analytics Big Data benchmark and it is currently under public review as TPCx-BB [4]. One of our goals was to evaluate the benchmark by performing various scalability tests and validate that it is able to stress test the processing engines. First, we analyzed the steps necessary to execute the available MapReduce implementation of BigBench [1] on Spark. Then, all the 30 BigBench queries were executed on MapReduce/Hive with different scale factors in order to see how the performance changes with the increase of the data size. Next, the group of HiveQL queries were executed on Spark SQL and compared with their respective Hive runtimes. This report gives a detailed overview on how to setup an experimental Hadoop cluster and execute BigBench on both Hive and Spark SQL. It provides the absolute times for all experiments preformed for different scale factors as well as query results which can be used to validate correct benchmark execution. Additionally, multiple issues and workarounds were encountered and solved during our work. An evaluation of the resource utilization (CPU, memory, disk and network usage) of a subset of representative BigBench queries is presented to illustrate the behavior of the different query groups on both processing engines. Last but not least it is important to mention that larger parts of this report are taken from the master thesis of Max-Georg Beer, entitled "Evaluation of BigBench on Apache Spark Compared to MapReduce" [5].},
      keywords={Benchmarking, Hadoop, Spark SQL, BigBench, Big Data},
      url={http://arxiv.org/ftp/arxiv/papers/1512/1512.08417.pdf},
      year = {2015}
    }

2014

  • [DOI] Ivanov, T., Zicari, R. V., & Buchmann, A. P.. (2014). Benchmarking Virtualized Hadoop Clusters. Paper presented at the Big Data Benchmarking – 5th International Workshop, WBDB 2014, Potsdam, Germany, August 5-6, 2014, Revised Selected Papers.
    [Bibtex]
    @inproceedings{DBLP:conf/wbdb/IvanovZB14,
      author    = {Todor Ivanov and
                   Roberto V. Zicari and
                   Alejandro P. Buchmann},
      title     = {Benchmarking Virtualized Hadoop Clusters},
      booktitle = {Big Data Benchmarking - 5th International Workshop, {WBDB} 2014, Potsdam,
                   Germany, August 5-6, 2014, Revised Selected Papers},
      pages     = {87--98},
      year      = {2014},
      url       = {http://dx.doi.org/10.1007/978-3-319-20233-4_9},
      doi       = {10.1007/978-3-319-20233-4_9},
      timestamp = {Mon, 15 Jun 2015 13:54:13 +0200},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/wbdb/IvanovZB14},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • [DOI] Rill, S., Reinel, D., Scheidt, J., & Zicari, R. V.. (2014). PoliTwi: Early Detection of Emerging Political Topics on Twitter and the Impact on Concept-Level Sentiment Analysis. Knowledge-Based Systems, 69, 24-33.
    [Bibtex]
    @article{Rill2014,
    title = {PoliTwi: Early Detection of Emerging Political Topics on Twitter and the Impact on Concept-Level Sentiment Analysis},
    journal = {Knowledge-Based Systems},
    volume = {69},
    pages = {24--33},
    year = {2014},
    issn = {0950-7051},
    doi = {http://dx.doi.org/10.1016/j.knosys.2014.05.008 },
    url = {http://www.sciencedirect.com/science/article/pii/S0950705114001920 },
    author = {Sven Rill and Dirk Reinel and Jörg Scheidt and Roberto V. Zicari},
    keywords = {Topic Detection},
    keywords = {Concept-Level Sentiment Analysis},
    keywords = {Big Data},
    keywords = {Twitter},
    keywords = {Social Data Analysis}
    }
  • [DOI] Mertz, M., Korfiatis, N., & Zicari, R. V.. (2014). Using Dependency Bigrams and Discourse Connectives for Predicting the Helpfulness of Online Reviews. Paper presented at the E-Commerce and Web Technologies – 15th International Conference, EC-Web 2014, Munich, Germany, September 1-4, 2014. Proceedings.
    [Bibtex]
    @inproceedings{DBLP:conf/ecweb/MertzKZ14,
      author    = {Matthias Mertz and
                   Nikolaos Korfiatis and
                   Roberto V. Zicari},
      title     = {Using Dependency Bigrams and Discourse Connectives for Predicting the Helpfulness of Online Reviews},
      booktitle = {E-Commerce and Web Technologies - 15th International Conference, EC-Web
                   2014, Munich, Germany, September 1-4, 2014. Proceedings},
      pages     = {146--152},
      year      = {2014},
      crossref  = {DBLP:conf/ecweb/2014},
      url       = {http://dx.doi.org/10.1007/978-3-319-10491-1_15},
      doi       = {10.1007/978-3-319-10491-1_15},
      timestamp = {Thu, 11 Sep 2014 15:35:47 +0200},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/ecweb/MertzKZ14},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • Tolle, K., & Wigg-Wolf, D.. (2014). Uncertainty Handling for Ancient Coinage. Paper presented at the Proceedings of the 42nd Annual Conference on Computer Applications and Quantitative Methods in Archaeology, CAA 2014 Paris.
    [Bibtex]
    @inproceedings{caa2014tolle,
      title={Uncertainty Handling for Ancient Coinage},
      author={Karsten Tolle and David Wigg-Wolf},
      booktitle={Proceedings of the 42nd Annual Conference on Computer Applications and Quantitative Methods in Archaeology, CAA 2014 Paris},
      pages={171--178},
      isbn = {978-1-78491-100-3},
      year={2014}
    }
  • Ivanov, T., Zicari, R. V., Izberovic, S., & Tolle, K.. (2014). Performance Evaluation of Virtualized Hadoop Clusters. Frankfurt Big Data Laboratory Technical Paper.
    [Bibtex]
    @UNPUBLISHED{TR-No2014-1,
      author = {Todor Ivanov and Roberto V. Zicari and Sead Izberovic and Karsten Tolle},
      title = {{Performance Evaluation of Virtualized Hadoop Clusters}},
      month = {November},
      publisher={Frankfurt Big Data Laboratory Technical Paper},
      abstract = {In this report we investigate the performance of Hadoop clusters, deployed with separated storage and compute layers, on top of a hypervisor managing a single physical host. We have analyzed and evaluated the different Hadoop cluster configurations by running CPU bound and I/O­ bound workloads. The report is structured as follows: Section 2 provides a brief description of the technologies involved in our study. An overview of the experimental platform, setup test and configurations are presented in Section 3. Our benchmark methodology is defined in Section 4. The performed experiments together with the evaluation of the results are presented in Section 5. Finally, Section 6 concludes with lessons learned.},
      keywords={Benchmarking, Virtualization, HiBench, Big Data},
      url={http://arxiv.org/ftp/arxiv/papers/1411/1411.3811.pdf},
      year = {2014}
    }
  • Ivanov, T., Niemann, R., Izberovic, S., Rosselli, M., Tolle, K., & Zicari, R. V.. (2014). Benchmarking DataStax Enterprise/Cassandra with HiBench. Frankfurt Big Data Laboratory Technical Paper.
    [Bibtex]
    @UNPUBLISHED{TR-No2014-2,
      author = {Todor Ivanov and Raik Niemann and Sead Izberovic and Marten Rosselli and Karsten Tolle and Roberto V. Zicari},
      title = {{Benchmarking DataStax Enterprise/Cassandra with HiBench}},
      month = {November},
      publisher={Frankfurt Big Data Laboratory Technical Paper},
      abstract = {This report evaluates the new analytical capabilities of DataStax Enterprise (DSE) [1] through the use of standard Hadoop workloads. In particular, we run experiments with CPU and I/O bound micro-benchmarks as well as OLAP-style analytical query workloads. The performed tests should show that DSE is capable of successfully executing Hadoop applications without the need to adapt them for the underlying Cassandra distributed storage system [2]. Due to the Cassandra File System (CFS) [3], which supports the Hadoop Distributed File System API, Hadoop stack applications should seamlessly run in DSE. The report is structured as follows: Section 2 provides a brief description of the technologies involved in our study. An overview of our used hardware and software components of the experimental environment is given in Section 3. Our benchmark methodology is defined in Section 4. The performed experiments together with the evaluation of the results are presented in Section 5. Finally, Section 6 concludes with lessons learned.},
      keywords={Benchmarking, Cassandra, HiBench, Big Data},
      url={http://arxiv.org/ftp/arxiv/papers/1411/1411.4044.pdf},
      year = {2014}
    }

2013

  • [DOI] Korfiatis, N., & Poulos, M.. (2013). Using online consumer reviews as a source for demographic recommendations: A case study using online travel reviews . Expert Systems with Applications, 40(14), 5507-5515.
    [Bibtex]
    @ARTICLE{2013-ESWA,
      author = {Korfiatis, N. and Poulos, M.},
      title = {{Using online consumer reviews as a source for demographic recommendations: A case study using online travel reviews }},
      journal = {Expert Systems with Applications},
      year = {2013},
      volume = {40},
      number = {14},
      pages ={5507--5515},
      doi = {10.1016/j.eswa.2013.03.046},
      imfactor = {ABS 3*, Impact factor: 2.203}
    }
  • [DOI] Niemann, R., Korfiatis, N., Zicari, R., & Göbel, R.. (2013). Evaluating the energy efficiency of OLTP operations. Paper presented at the Availability, Reliability, and Security in Information Systems and HCI / Lecture Notes in Computer Science Volume 8127, 2013, pp 28-43, Regensburg, Germany.
    [Bibtex]
    @INPROCEEDINGS{2013-CDARES,
      author = {Niemann, R. and Korfiatis, N. and Zicari, R. and Göbel, R.},
      title = {{Evaluating the energy efficiency of OLTP operations}},
      booktitle = {{Availability, Reliability, and Security in Information Systems and HCI / Lecture Notes in Computer Science Volume 8127, 2013, pp 28-43}},
      doi = {10.1007/978-3-642-40511-2_3},
      address = {Regensburg, Germany},
      year = {2013}
    }
  • [DOI] Wu, P. F., & Korfiatis, N.. (2013). You Scratch Someone’s Back and We’ll Scratch Yours: Collective Reciprocity in Social Q&A Communities. Journal of the American Society for Information Science and Technology (JASIST), 64(10).
    [Bibtex]
    @ARTICLE{2013-JASIST,
      author = {Wu, P.F. and Korfiatis, N.},
      title = {{You Scratch Someone's Back and We'll Scratch Yours: Collective Reciprocity in Social Q\&A Communities}},
      journal = {{Journal of the American Society for Information Science and Technology (JASIST)}},
      year = {2013},
      volume = {64},
      number = {10},
      doi = {10.1002/asi.22913},
      imfactor = {ABS 3*, Impact factor: 2.081}
      
    }
  • Schefels, C.. (2013). Computing User Importance in Web Communities by Mining Similarity Graphs. International Journal On Advances in Internet Technology, 6(1 & 2), 79-89.
    [Bibtex]
    @article{schefels.ComputingUserImportance,
     author    = {Schefels, Clemens},
     title     = {Computing User Importance in Web Communities by Mining Similarity Graphs},
     journal   = {International Journal On Advances in Internet Technology},
     volume    = {6},
     number    = {1 \& 2},
     year      = {2013},
     pages     = {79-89},
     issn      = {1942-2652},
     publisher = {International Academy, Research and Industry Association (IARIA)}
    }
  • [DOI] Li, K., Reichenbach, C., Smaragdakis, Y., Diao, Y., & Csallner, C.. (2013). SEDGE: Symbolic example data generation for dataflow programs. Paper presented at the 2013 28th IEEE/ACM International Conference on Automated Software Engineering, ASE 2013, Silicon Valley, CA, USA, November 11-15, 2013.
    [Bibtex]
    @inproceedings{DBLP:conf/kbse/LiRSDC13,
      author    = {Kaituo Li and
                   Christoph Reichenbach and
                   Yannis Smaragdakis and
                   Yanlei Diao and
                   Christoph Csallner},
      title     = {{SEDGE:} Symbolic example data generation for dataflow programs},
      booktitle = {2013 28th {IEEE/ACM} International Conference on Automated Software
                   Engineering, {ASE} 2013, Silicon Valley, CA, USA, November 11-15,
                   2013},
      pages     = {235--245},
      year      = {2013},
      url       = {http://dx.doi.org/10.1109/ASE.2013.6693083},
      doi       = {10.1109/ASE.2013.6693083},
      timestamp = {Mon, 21 Jul 2014 07:41:41 +0200},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/kbse/LiRSDC13},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • Korfiatis, N., Zicari, R., & Mahnke, V.. (2013). On the willingness to acquire new Facebook friends: A study of digital natives and experienced digital workers / Working Paper. .
    [Bibtex]
    @UNPUBLISHED{2013-WP-EJIS,
      author = {Korfiatis, N. and Zicari, R. and Mahnke, V.},
      title = {{On the willingness to acquire new Facebook friends: A study of digital natives and experienced digital workers / Working Paper}},
      month = {January},
      year = {2013}
    }
  • Rill, S., Korfiatis, N., Scheidt, J., & Zicari, R.. (2013). Mining Negativity from Online Reviews: A Comparison between Search and Experience Goods/ SSRN Working Paper. .
    [Bibtex]
    @UNPUBLISHED{2013-WP-SVEN,
      author = {Rill, S. and Korfiatis, N. and Scheidt, J. and Zicari, R.},
      title = {{Mining Negativity from Online Reviews: A Comparison between Search and Experience Goods/ SSRN Working Paper}},
      url = {http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2199626},
      month = {January},  
      year = {2013}
    }
  • Kostagiolas, P. A., Korfiatis, N., & Alexias, G.. (2013). How Work-Related and Personal Motivated Information Needs Shape Trust Towards Government-Sponsored Medical Information Sources? / SSRN Working Paper. .
    [Bibtex]
    @UNPUBLISHED{2013-WP-KOSTAGIOLAS,
      author = {Kostagiolas, P.A and Korfiatis, N. and Alexias, G.},
      title = {{How Work-Related and Personal Motivated Information Needs Shape Trust Towards Government-Sponsored Medical Information Sources? / SSRN Working Paper}},
      url = {http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2242976},
      month = {March},  
      year = {2013}
    }
  • Kostagiolas, P. A., Lavranos, C., Papavlassopoulos, S., Korfiatis, N., & Papadatos, J.. (2013). Music, Musicians, and Information Seeking Behavior: A Case Study on a Community Concert Band / SSRN Working Paper. .
    [Bibtex]
    @UNPUBLISHED{2013-WP-KOSTAGIOLAS2,
      author = {Kostagiolas, P.A and Lavranos, Ch. and Papavlassopoulos, S. and Korfiatis, N. and Papadatos, J.},
      title = {{Music, Musicians, and Information Seeking Behavior: A Case Study on a Community Concert Band / SSRN Working Paper}},
      url = {http://ssrn.com/abstract=2285003},
      month = {June},  
      year = {2013}
    }
  • Korfiatis, N.. (2013). Big Data for Enhancing Learning Analytics: A Case for Large-Scale Comparative Assessments. Paper presented at the Proceedings of the 7th International Conference on Metadata and Semantics Research / Communications in Computer and Information Science .
    [Bibtex]
    @INPROCEEDINGS{2013-MTSR,
      author = {Korfiatis, N.},
      title = {{Big Data for Enhancing Learning Analytics: A Case for Large-Scale Comparative Assessments}},
      booktitle = {{Proceedings of the 7th International Conference on Metadata and Semantics Research / Communications in Computer and Information Science }},
      url = {  http://ssrn.com/abstract=2291679},
      month = {July},
      year = {2013}
    }
  • Zicari, R. V.. (2013). Big Data: Challenges and Opportunities. In Akerkar, R. (Ed.), In Big Data Computing (pp. 564). Chapman and Hall/CRC.
    [Bibtex]
    @incollection{akerkar_big_2013,
      title = {Big Data: Challenges and Opportunities},
      booktitle = {Big Data Computing},
      publisher = {Chapman and Hall/CRC},
      author = {Zicari, Roberto V.},
      editor = {Akerkar, Rajendra},
      year = {2013},
      month = {October},
      pages = {564}
    }
  • Ivanov, T., Korfiatis, N., & Zicari, R. V.. (2013). On the inequality of the 3V’s of Big Data Architectural Paradigms: A case for Heterogeneity. Frankfurt Big Data Laboratory Working Paper.
    [Bibtex]
    @UNPUBLISHED{2013-WP-BIGDATAHET,
      author = {Ivanov, T. and Korfiatis, N. and Zicari, Roberto V.},
      title = {{On the inequality of the 3V’s of Big Data Architectural Paradigms:  A case for Heterogeneity}},
      month = {November},
      publisher={Frankfurt Big Data Laboratory Working Paper},
      abstract = {The well-known 3V architectural paradigm for Big Data introduced by Laney (2011) provides a simplified framework for defining the architecture of a big data platform to be deployed in various scenarios tackling processing of massive datasets. While additional components such as Variability and Veracity have been discussed as an extension to the 3V model, the basic components (Volume, Variety, and Velocity) provide a quantitative framework while varia-bility and veracity target a more qualitative approach. In this paper we argue why the basic 3V’s are not equal due to the different requirements that need to be covered in case higher demands for a particular “V”. Similar to other conjectures such as the CAP theorem, 3V based architectures differ on their implementation. We call this paradigm heterogeneity and we provide a taxonomy of the existing tools (as of 2013) covering the Hadoop ecosystem from the perspective of heterogeneity. This paper contributes on the understanding of the Hadoop ecosystem from the perspective of different workloads and aims to help researchers and practitioners on the design of scalable platforms targeting different operational needs.},
      keywords={3V’s, Heterogeneity, Big data platforms, Big data systems architecture},
      url={http://arxiv.org/ftp/arxiv/papers/1311/1311.0805.pdf},
      year = {2013}
    }

2012

  • Ethan Gruber Sebastian Heath, A. M. D. P. K. T. D. W.. (2012). Semantic Web Technologies Applied to Numismatic Collections. Paper presented at the Computer Applications and Quantitative Methods in Archaeology, CAA 2012 Southampton.
    [Bibtex]
    @inproceedings{caa2012tolle,
      title={Semantic Web Technologies Applied to Numismatic Collections},
      author={Ethan Gruber, Sebastian Heath, Andrew Meadows, Daniel Pett, Karsten Tolle, David Wigg-Wolf},
      booktitle={Computer Applications and Quantitative Methods in Archaeology, CAA 2012 Southampton},
      year={2012}
    }
  • Rill, S., Scheidt, J., Drescher, J., Schütz, O., Reinel, D., & Wogenstein, F.. (2012). A generic approach to generate opinion lists of phrases for opinion mining applications. Paper presented at the Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining.
    [Bibtex]
    @inproceedings{rill2012generic,
      title={A generic approach to generate opinion lists of phrases for opinion mining applications},
      author={Rill, Sven and Scheidt, J{\"o}rg and Drescher, Johannes and Sch{\"u}tz, Oliver and Reinel, Dirk and Wogenstein, Florian},
      booktitle={Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining},
      pages={7},
      year={2012},
      organization={ACM}
    }
  • Tolle, K., & Bachmann, M.. (2012). IwOnto – SQL based Mapping from Relational Databases to Ontologies. Paper presented at the WEBIST 2012 – Proceedings of the 8th International Conference on Web Information Systems and Technologies, Porto, Portugal, 18 – 21 April, 2012.
    [Bibtex]
    @inproceedings{DBLP:conf/webist/TolleB12,
      author    = {Karsten Tolle and
                   Mario Bachmann},
      title     = {IwOnto - {SQL} based Mapping from Relational Databases to Ontologies},
      booktitle = {{WEBIST} 2012 - Proceedings of the 8th International Conference on
                   Web Information Systems and Technologies, Porto, Portugal, 18 - 21
                   April, 2012},
      pages     = {430--433},
      year      = {2012},
      crossref  = {DBLP:conf/webist/2012},
      timestamp = {Fri, 25 May 2012 12:32:27 +0200},
      biburl    = {http://dblp.uni-trier.de/rec/bib/conf/webist/TolleB12},
      bibsource = {dblp computer science bibliography, http://dblp.org}
    }
  • Schefels, C.. (2012). How to Find Important Users in a Web Community? Mining Similarity Graphs. Paper presented at the Proceedings of the First International Conference on Data Analytics (DATA ANALYTICS 2012) / NexTech 2012.
    [Bibtex]
    @inproceedings{schefels.ImportantUsersWebCommunity,
     author    = {Schefels, Clemens},
     title     = {How to Find Important Users in a Web Community? Mining Similarity Graphs},
     booktitle = {Proceedings of the First International Conference on Data Analytics (DATA ANALYTICS 2012) / NexTech 2012},
     year      = {2012},
     isbn      = {978-1-61208-023-9},
     pages     = {10--17},
     location  = {Barcelona, Spain},
     publisher = {International Academy, Research and Industry Association (IARIA)}
    }
  • Zicari, R. V.. (2012). Fuzzy Clustering of Web User’s Profiles for Analyzing their Behavior and Interests. In Andreas Meier, L. D. (Ed.), In Fuzzy Methods for Customer Relationship Management and Marketing IGI Global.
    [Bibtex]
    @incollection{Kreuzer_Hoebel_2011,
      title = {Fuzzy Clustering of Web User's Profiles for Analyzing their Behavior and Interests},
      booktitle = {Fuzzy Methods for Customer Relationship Management and Marketing},
      publisher = {IGI Global},
      author = {Zicari, Roberto V.},
      editor = {Andreas Meier, Laurent Donzé},
      year = {2012},
      month = {},
      pages = {},
      url = {http://www.igi-global.com/book/fuzzy-methods-customer-relationship-management/56012}
    }
  • Schefels, C., Eschenberg, S., & Schöneberger, C.. (2012). Behavioral Analysis of Registered Web Site Visitors with Help of Mouse Tracking. Paper presented at the Proceedings of the 14th IEEE International Conference on Commerce and Enterprise Computing (CEC2012), Los Alamitos, USA.
    [Bibtex]
    @inproceedings{schefels.BehavioralAnalysisMouseTracking,
     author    = {Schefels, Clemens and Eschenberg, Sven and Sch\"oneberger, Christian},
     title     = {Behavioral Analysis of Registered Web Site Visitors with Help of Mouse Tracking},
     booktitle = {Proceedings of the 14th IEEE International Conference on Commerce and Enterprise Computing (CEC2012)},
     year      = {2012},
     isbn      = {978-0-7695-4857-9},
     pages     = {33--40},
     location  = {Hangzhou, China},
     publisher = {IEEE Computer Society Press},
     address   = {Los Alamitos, USA}
    }
  • [DOI] Kostagiolas, P. A., Korfiatis, N., & Poulos, M.. (2012). A Long-Tail inspired measure to assess resource use in information Services. Library & Information Science Research, 34(4), 317-323.
    [Bibtex]
    @ARTICLE{2012-LIBINF,
      author = {Kostagiolas, P.A. and Korfiatis, N. and Poulos, M.},
      title = {A Long-Tail inspired measure to assess resource use in information Services},
      journal = {Library \& Information Science Research},
      year = {2012},
      volume = {34},
      number = {4},
      pages = {317--323},
      imfactor = {Impact factor: 1.625}, 
      doi = {10.1016/j.lisr.2012.05.002},
      publisher = {Elsevier}
    }
  • [DOI] Kostagiolas, P. A., Samioti, F., Alexias, G., Korfiatis, N., & Niakas, D.. (2012). Examining Patterns of Information Behavior Among Healthcare Professionals: A Case Study on Health Psychologists. New Review of Information Networking, 17(2), 108-119.
    [Bibtex]
    @ARTICLE{2012-NRIN,
      author = {Kostagiolas, P.A. and Samioti, F. and Alexias, G. and Korfiatis, N. and Niakas, D.},
      title = {Examining Patterns of Information Behavior Among Healthcare Professionals: A Case Study on Health Psychologists},
      journal = {New Review of Information Networking},
      year = {2012},
      volume = {17},
      pages = {108--119},
      number = {2},
      publisher = {Taylor \& Francis Group},  
      doi = {10.1080/13614576.2012.724300}
    }
  • Constantiou, I., Hoebel, N., & Zicari, R. V.. (2012). How do framing strategies influence the user’s choice of content on the Web?. Concurrency and Computation: Practice and Experience, 24(17), 2207-2220.
    [Bibtex]
    @article{constantiou2012framing,
      title={How do framing strategies influence the user's choice of content on the Web?},
      author={Constantiou, Ioanna and Hoebel, Natascha and Zicari, Roberto V},
      journal={Concurrency and Computation: Practice and Experience},
      volume={24},
      number={17},
      pages={2207--2220},
      year={2012},
      publisher={Wiley Online Library}
    }
  • Kreuzer, S., & Hoebel, N.. (2012). Fuzzy Clustering of Web User Profiles for Analyzing their Behavior and Interests. Fuzzy methods for customer relationship management and marketing, 91.
    [Bibtex]
    @article{kreuzer2012fuzzy,
      title={Fuzzy Clustering of Web User Profiles for Analyzing their Behavior and Interests},
      author={Kreuzer, Stanislav and Hoebel, Natascha},
      journal={Fuzzy methods for customer relationship management and marketing},
      pages={91},
      year={2012},
      publisher={IGI Global}
    }
  • Rill, S., Adolph, S., Drescher, J., Reinel, D., Scheidt, J., Schütz, O., Wogenstein, F., Zicari, R. V., & Korfiatis, N.. (2012). A Phrase-Based Opinion List for the German Language. Paper presented at the Proceedings of the 11th Conference on Natural Language Processing (KONVENS), Vienna, Austria.
    [Bibtex]
    @INPROCEEDINGS{2012-KONVENS,
      author = {Rill, S. and Adolph, S. and Drescher, J. and Reinel, D. and Scheidt,
      J. and Sch{\"u}tz, O. and Wogenstein, F. and Zicari, R.V. and Korfiatis,N.},
      title = {A Phrase-Based Opinion List for the German Language},
      booktitle = {{Proceedings of the 11th Conference on Natural Language Processing (KONVENS)}},
      address = {Vienna, Austria},
      year = {2012}, 
      
    }
  • [DOI] Korfiatis, N., García-Barriocanal E., & Sánchez–Alonso, S.. (2012). Evaluating content quality and helpfulness of online product reviews: The interplay of review helpfulness vs. review content. Electronic Commerce Research and Applications, 11(3), 205-217.
    [Bibtex]
    @ARTICLE{2012-ECRA,
      author = {Korfiatis, N. and Garc{\'i}a-Barriocanal, E., and S{\'a}nchez--Alonso, S.},
      title = {Evaluating content quality and helpfulness of online product reviews: The interplay of review helpfulness vs. review content},
      journal = {Electronic Commerce Research and Applications},
      year = {2012},
      volume = {11},
      number = {3},
      pages ={205--217},
      imfactor = {Impact factor: 1.472}, 
      doi = {10.1016/j.elerap.2011.10.003},
      publisher = {Elsevier}
    }
  • Korfiatis, N., Loebbecke, C., & Cremer, S.. (2012). Successfully Bidding for Online Projects: The Impact of Project-Focused Messages. Paper presented at the Proceedings of the International Workshop on e-Business (WeB) 2012, Orlando, Florida, USA.
    [Bibtex]
    @INPROCEEDINGS{2012-PRE-ICIS,
      author = {Korfiatis, Nikolaos and Loebbecke, Claudia and Cremer, Stephan},
      title = {Successfully Bidding for Online Projects: The Impact of Project-Focused Messages},
      booktitle = {{Proceedings of the International Workshop on e-Business (WeB) 2012}},
      year = {2012},
      address={Orlando, Florida, USA}
    }
  • [DOI] Schefels, C., & Zicari, R. V.. (2012). A Framework Analysis for Managing Feedback of Visitors of a Web Site. International Journal of Web Information Systems (IJWIS), 8(1), 127-150.
    [Bibtex]
    @article{schefels.IJWISFrameworkAnalysis,
     author    = {Schefels, Clemens and Zicari, Roberto V.},
     title     = {A Framework Analysis for Managing Feedback of Visitors of a Web Site},
     journal   = {International Journal of Web Information Systems (IJWIS)},
     volume    = {8},
     number    = {1},
     year      = {2012},
     pages     = {127--150},
     doi       = {10.1108/17440081211222618},
     issn      = {1744-0084},
     publisher = {Emerald Group Publishing Limited},
     address   = {Bingley, UK}
    }

For publications before 2012, please see the DBIS webpage.

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