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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Atzmueller, M., Becker, M., Kibanov, M., Scholz, C., Doerfel, S., Hotho, A., Macek, B.-E., Mitzlaff, F., Mueller, J. & Stumme, G. Ubicon and its Applications for Ubiquitous Social Computing

    [Abstract] [BibTeX]

    		 2014 New Review of Hypermedia and Multimedia
    Vol. 20(1), pp. 53-77     		 article DOI URL 
    Abstract: The combination of ubiquitous and social computing is an emerging
    esearch area which integrates different but complementary methods,
    echniques and tools. In this paper, we focus on the Ubicon platform,
    ts applications, and a large spectrum of analysis results.

    bicon provides an extensible framework for building and hosting applications
    argeting both ubiquitous and social environments. We summarize the
    rchitecture and exemplify its implementation using four real-world
    pplications built on top of Ubicon. In addition, we discuss several
    cientific experiments in the context of these applications in order
    o give a better picture of the potential of the framework, and discuss
    nalysis results using several real-world data sets collected utilizing
    bicon.
    BibTeX: 
    @article{atzmueller2014ubicon,
  author = {Atzmueller, Martin and Becker, Martin and Kibanov, Mark and Scholz, Christoph and Doerfel, Stephan and Hotho, Andreas and Macek, Bjoern-Elmar and Mitzlaff, Folke and Mueller, Juergen and Stumme, Gerd},
  title = {Ubicon and its Applications for Ubiquitous Social Computing},
  journal = {New Review of Hypermedia and Multimedia},
  year = {2014},
  volume = {20},
  number = {1},
  pages = {53--77},
  url = {http://www.tandfonline.com/doi/abs/10.1080/13614568.2013.873488},
  doi = {http://dx.doi.org/10.1080/13614568.2013.873488}
}
    Proceedings of the 1st International Workshop on Interactions between Data Mining and Natural Language Processing co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, DMNLP@PKDD/ECML 2014, Nancy, France, September 15, 2014

    [BibTeX]

    		 2014
    Vol. 1202     		 proceedings URL 
    BibTeX: 
    @proceedings{cellier2014proceedings,,
  title = {Proceedings of the 1st International Workshop on Interactions between
                 Data Mining and Natural Language Processing co-located with The European
                 Conference on Machine Learning and Principles and Practice of Knowledge
                 Discovery in Databases, DMNLP@PKDD/ECML 2014, Nancy, France, September
                 15, 2014},
  publisher = {CEUR-WS.org},
  year = {2014},
  volume = {1202},
  url = {http://ceur-ws.org/Vol-1202}
}
    Modeling and Mining Ubiquitous Social Media

    [BibTeX]

    		 2012
    Vol. 7472     		 book URL 
    BibTeX: 
    @book{ACHH:12,,
  title = {Modeling and Mining Ubiquitous Social Media},
  publisher = {Springer Verlag},
  year = {2012},
  volume = {7472},
  url = {http://www.springer.com/computer/ai/book/978-3-642-33683-6}
}
    Proceedings of the Third International Workshop on Mining Ubiquitous and Social Environments (MUSE 2012)

    [BibTeX]

    		 2012   book URL 
    BibTeX: 
    @book{AH:12,,
  title = {Proceedings of the Third International Workshop on Mining Ubiquitous and Social Environments (MUSE 2012)},
  publisher = {Workshop Notes},
  year = {2012},
  url = {http://www.kde.cs.uni-kassel.de/ws/muse2012/proceedings.pdf}
}
    Han, J., Kamber, M. & Pei, J. Data mining concepts and techniques, third edition

    [BibTeX]

    		 2012   electronic URL 
    BibTeX: 
    @electronic{han2012mining,
  author = {Han, Jiawei and Kamber, Micheline and Pei, Jian},
  title = {Data mining concepts and techniques, third edition},
  publisher = {Morgan Kaufmann Publishers},
  year = {2012},
  url = {http://www.amazon.de/Data-Mining-Concepts-Techniques-Management/dp/0123814790/ref=tmm_hrd_title_0?ie=UTF8&qid=1366039033&sr=1-1}
}
    North, M. Data mining for the masses

    [BibTeX]

    		 2012   book URL 
    BibTeX: 
    @book{north2012mining,
  author = {North, Matthew},
  title = {Data mining for the masses},
  year = {2012},
  url = {http://www.amazon.de/Data-Mining-Masses-Matthew-North/dp/0615684378/ref=sr_1_1?s=books-intl-de&ie=UTF8&qid=1366038800&sr=1-1&keywords=rapidminer}
}
    Proceedings of the 2011 International Workshop on Mining Ubiquitous and Social Environments (MUSE 2011)

    [BibTeX]

    		 2011   book  
    BibTeX: 
    @book{AH:11,,
  title = {Proceedings of the 2011 International Workshop on Mining Ubiquitous and Social Environments (MUSE 2011)},
  publisher = {ECML/PKDD 2011},
  year = {2011}
}
    Atzmueller, M., Benz, D., Hotho, A. & Stumme, G. Towards Mining Semantic Maturity in Social Bookmarking Systems

    [BibTeX]

    		 2011 Proceedings of the 4th international workshop on Social Data on the Web (SDoW2011)  inproceedings URL 
    BibTeX: 
    @inproceedings{atzmueller2011towards,
  author = {Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  title = {Towards Mining Semantic Maturity in Social Bookmarking Systems},
  booktitle = {Proceedings of the 4th international workshop on Social Data on the Web (SDoW2011)},
  year = {2011},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/atzmueller2011towards.pdf}
}
    Bloehdorn, S., Blohm, S., Cimiano, P., Giesbrecht, E., Hotho, A., Lösch, U., Mädche, A., Mönch, E., Sorg, P., Staab, S. & Völker, J. Combining Data-Driven and Semantic Approaches for Text Mining.

    [BibTeX]

    		 2011 Foundations for the Web of Information and Services, pp. 115-142  inproceedings URL 
    BibTeX: 
    @inproceedings{conf/birthday/BloehdornBCGHLMMSSV11,
  author = {Bloehdorn, Stephan and Blohm, Sebastian and Cimiano, Philipp and Giesbrecht, Eugenie and Hotho, Andreas and Lösch, Uta and Mädche, Alexander and Mönch, Eddie and Sorg, Philipp and Staab, Steffen and Völker, Johanna},
  title = {Combining Data-Driven and Semantic Approaches for Text Mining.},
  booktitle = {Foundations for the Web of Information and Services},
  publisher = {Springer},
  year = {2011},
  pages = {115-142},
  url = {http://dblp.uni-trier.de/db/conf/birthday/studer2011.html#BloehdornBCGHLMMSSV11}
}
    Han, J. & Kamber, M. Data mining : concepts and techniques

    [BibTeX]

    		 2011   book URL 
    BibTeX: 
    @book{han2011mining,
  author = {Han, Jiawei and Kamber, Micheline},
  title = {Data mining : concepts and techniques},
  publisher = {Elsevier/Morgan Kaufmann},
  year = {2011},
  url = {http://www.amazon.de/Data-Mining-Practical-Techniques-Management/dp/0123748569/ref=sr_1_2?ie=UTF8&qid=1366038862&sr=8-2&keywords=Data+mining}
}
    Hotho, A. & Stumme, G. From Semantic Web Mining to Social and Ubiquitous Mining - A Subjective View on Past, Current, and Future Research.

    [BibTeX]

    		 2011 Foundations for the Web of Information and Services, pp. 143-153  inproceedings URL 
    BibTeX: 
    @inproceedings{conf/birthday/HothoS11,
  author = {Hotho, Andreas and Stumme, Gerd},
  title = {From Semantic Web Mining to Social and Ubiquitous Mining - A Subjective View on Past, Current, and Future Research.},
  booktitle = {Foundations for the Web of Information and Services},
  publisher = {Springer},
  year = {2011},
  pages = {143-153},
  url = {http://dblp.uni-trier.de/db/conf/birthday/studer2011.html#HothoS11}
}
    Mitzlaff, F., Atzmueller, M., Benz, D., Hotho, A. & Stumme, G. Community Assessment using Evidence Networks

    [BibTeX]

    		 2011
    Vol. 6904Analysis of Social Media and Ubiquitous Data     		 inproceedings  
    BibTeX: 
    @inproceedings{mitzlaff2011community,
  author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
  title = {Community Assessment using Evidence Networks},
  booktitle = {Analysis of Social Media and Ubiquitous Data},
  year = {2011},
  volume = {6904}
}
    Mitzlaff, F., Atzmueller, M., Stumme, G. & Hotho, A. On the Semantics of User Interaction in Social Media (Extended Abstract, Resubmission)

    [BibTeX]

    		 2011 Proc. LWA 2013 (KDML Special Track)  inproceedings  
    BibTeX: 
    @inproceedings{MASH:13b,
  author = {Mitzlaff, Folke and Atzmueller, Martin and Stumme, Gerd and Hotho, Andreas},
  title = {On the Semantics of User Interaction in Social Media (Extended Abstract, Resubmission)},
  booktitle = {Proc. LWA 2013 (KDML Special Track)},
  publisher = {University of Bamberg},
  year = {2011}
}
    Rubin, T.N., Chambers, A., Smyth, P. & Steyvers, M. Statistical Topic Models for Multi-Label Document Classification

    [Abstract] [BibTeX]

    		 2011   misc URL 
    Abstract: Machine learning approaches to multi-label document classification have (to date) largely relied on discriminative modeling techniques such as support vector machines. A drawback of these approaches is that performance rapidly drops off as the total number of labels and the number of labels per document increase. This problem is amplified when the label frequencies exhibit the type of highly skewed distributions that are often observed in real-world datasets. In this paper we investigate a class of generative statistical topic models for multi-label documents that associate individual word tokens with different labels. We investigate the advantages of this approach relative to discriminative models, particularly with respect to classification problems involving large numbers of relatively rare labels. We compare the performance of generative and discriminative approaches on document labeling tasks ranging from datasets with several thousand labels to datasets with tens of labels. The experimental results indicate that generative models can achieve competitive multi-label classification performance compared to discriminative methods, and have advantages for datasets with many labels and skewed label frequencies.
    BibTeX: 
    @misc{Rubin2011,
  author = {Rubin, Timothy N. and Chambers, America and Smyth, Padhraic and Steyvers, Mark},
  title = {Statistical Topic Models for Multi-Label Document Classification},
  year = {2011},
  note = {cite arxiv:1107.2462},
  url = {http://arxiv.org/abs/1107.2462}
}
    Hotho, A., Ulslev Pedersen, R. & Wurst, M. Ubiquitous Data

    [BibTeX]

    		 2010 Lecture Notes in Computer Science(6202), pp. 61-74  article URL 
    BibTeX: 
    @article{hotho2010ubiquitous,
  author = {Hotho, Andreas and Ulslev Pedersen, Rasmus and Wurst, Michael},
  title = {Ubiquitous Data},
  journal = {Lecture Notes in Computer Science},
  publisher = {Springer},
  year = {2010},
  number = {6202},
  pages = {61--74},
  url = {http://rd.springer.com/content/pdf/10.1007%2F978-3-642-16392-0_4.pdf}
}
    Yassine, M. & Hajj, H. A Framework for Emotion Mining from Text in Online Social Networks.

    [BibTeX]

    		 2010 ICDM Workshops, pp. 1136-1142  inproceedings URL 
    BibTeX: 
    @inproceedings{conf/icdm/YassineH10,
  author = {Yassine, Mohamed and Hajj, Hazem},
  title = {A Framework for Emotion Mining from Text in Online Social Networks.},
  booktitle = {ICDM Workshops},
  publisher = {IEEE Computer Society},
  year = {2010},
  pages = {1136-1142},
  url = {http://dblp.uni-trier.de/db/conf/icdm/icdmw2010.html#YassineH10}
}
    Srivastava, A. & Sahami, M. Text mining : classification, clustering, and applications

    [Abstract] [BibTeX]

    		 2009 , pp. -  book URL 
    Abstract: Giving a broad perspective of the field from numerous vantage points, 'Text Mining' focuses on statistical methods for text mining and analysis. It examines methods to automatically cluster and classify text documents and applies these methods in a variety of areas.
    BibTeX: 
    @book{srivastava2009mining,
  author = {Srivastava, Asho and Sahami, Mehran.},
  title = {Text mining : classification, clustering, and applications},
  publisher = {CRC Press},
  year = {2009},
  pages = {--},
  url = {http://www.worldcat.org/search?qt=worldcat_org_all&q=9781420059403}
}
    Crane, G. What Do You Do with a Million Books?

    [BibTeX]

    		 2006 D-Lib Magazine
    Vol. 12(3)     		 article DOI URL 
    BibTeX: 
    @article{march06crane,
  author = {Crane, Gregory},
  title = {What Do You Do with a Million Books?},
  journal = {D-Lib Magazine},
  year = {2006},
  volume = {12},
  number = {3},
  url = {http://www.dlib.org/dlib/march06/crane/03crane.html},
  doi = {http://dx.doi.org/10.1045/march2006-crane}
}
    Berkhin, P. A survey on pagerank computing

    [Abstract] [BibTeX]

    		 2005 Internet Mathematics
    Vol. 2, pp. 73-120     		 article URL 
    Abstract: Abstract. This survey reviews the research related to PageRank computing. Components of a PageRank vector serve as authority weights for web pages independent of their textual content, solely based on the hyperlink structure of the web. PageRank is typically used as a web search ranking component. This defines the importance of the model and the data structures that underly PageRank processing. Computing even a single PageRank is a difficult computational task. Computing many PageRanks is a much more complex challenge. Recently, significant effort has been invested in building sets of personalized PageRank vectors. PageRank is also used in many diverse applications other than ranking. We are interested in the theoretical foundations of the PageRank formulation, in the acceleration of PageRank computing, in the effects of particular aspects of web graph structure on the optimal organization of computations, and in PageRank stability. We also review alternative models that lead to authority indices similar to PageRank and the role of such indices in applications other than web search. We also discuss linkbased search personalization and outline some aspects of PageRank infrastructure from associated measures of convergence to link preprocessing. 1.
    BibTeX: 
    @article{Berkhin05asurvey,
  author = {Berkhin, Pavel},
  title = {A survey on pagerank computing},
  journal = {Internet Mathematics},
  year = {2005},
  volume = {2},
  pages = {73--120},
  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.102.2294}
}
    Fayyad, U.M., Piatetsky-Shapiro, G. & Smyth, P. Advances in knowledge discovery and data mining

    [BibTeX]

    		 1996 , pp. 1-34  incollection URL 
    BibTeX: 
    @incollection{Fayyad:1996:DMK:257938.257942,
  author = {Fayyad, Usama M. and Piatetsky-Shapiro, Gregory and Smyth, Padhraic},
  title = {Advances in knowledge discovery and data mining},
  publisher = {American Association for Artificial Intelligence},
  year = {1996},
  pages = {1--34},
  url = {http://portal.acm.org/citation.cfm?id=257938.257942}
}

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