@article{Jain:1999:DCR:331499.331504,
  abstract = {Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disciplines; this reflects its broad appeal and usefulness as one of the steps in exploratory data analysis. However, clustering is a difficult problem combinatorially, and differences in assumptions and contexts in different communities has made the transfer of useful generic concepts and methodologies slow to occur. This paper presents an overviewof pattern clustering methods from a statistical pattern recognition perspective, with a goal of providing useful advice and references to fundamental concepts accessible to the broad community of clustering practitioners. We present a taxonomy of clustering techniques, and identify cross-cutting themes and recent advances. We also describe some important applications of clustering algorithms such as image segmentation, object recognition, and information retrieval.},
  acmid = {331504},
  address = {New York, NY, USA},
  author = {Jain, A. K. and Murty, M. N. and Flynn, P. J.},
  doi = {10.1145/331499.331504},
  hans = {otto},
  interhash = {5113b61d428d4de4423182e5f2b2f468},
  intrahash = {bd7234f7139a1651acfaed57b5c2551f},
  issn = {0360-0300},
  issue_date = {Sept. 1999},
  journal = {ACM Comput. Surv.},
  month = sep,
  number = 3,
  numpages = {60},
  pages = {264--323},
  publisher = {ACM},
  title = {Data Clustering: A Review},
  url = {http://doi.acm.org/10.1145/331499.331504},
  volume = 31,
  year = 1999
}

@book{reference/rsh/2011,
  booktitle = {Recommender Systems Handbook},
  editor = {Ricci, Francesco and Rokach, Lior and Shapira, Bracha and Kantor, Paul B.},
  ee = {http://www.springerlink.com/content/978-0-387-85819-7},
  interhash = {fc9c45535069f00807f784abdd939d9f},
  intrahash = {49d1b9115124c64075d6c2c559504b22},
  isbn = {978-0-387-85819-7},
  publisher = {Springer},
  title = {Recommender Systems Handbook},
  url = {http://dblp.uni-trier.de/db/reference/rsh/rsh2011.html},
  year = 2011
}

@article{springerlink:10.1007/s10115-010-0356-2,
  abstract = {Subgroup discovery is a data mining technique which extracts interesting rules with respect to a target variable. An important characteristic of this task is the combination of predictive and descriptive induction. An overview related to the task of subgroup discovery is presented. This review focuses on the foundations, algorithms, and advanced studies together with the applications of subgroup discovery presented throughout the specialised bibliography.},
  affiliation = {Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain},
  author = {Herrera, Franciso and Carmona, Cristóbal and González, Pedro and del Jesus, María},
  doi = {10.1007/s10115-010-0356-2},
  interhash = {54d81a413473b482266e009d272c319a},
  intrahash = {3cef7c3a62fcc6ae55753570bd041f5e},
  issn = {0219-1377},
  journal = {Knowledge and Information Systems},
  keyword = {Computer Science},
  pages = {1-31},
  publisher = {Springer London},
  title = {An overview on subgroup discovery: foundations and applications},
  url = {http://dx.doi.org/10.1007/s10115-010-0356-2},
  year = 2010
}

@book{staab04handbook,
  address = {Berlin, DE},
  editor = {Staab, S. and Studer, R.},
  interhash = {9cbe2aab5cf2be6c545d436758b6b1d6},
  intrahash = {6317962ddc5bd2a1febf873fd3900aba},
  location = {Aix-en-Provence, France},
  publisher = {Springer},
  title = {{Handbook on Ontologies}},
  year = 2003
}

@book{Fensel:2002,
  editor = {Fensel, Dieter and Wahlster, Wolfgang and Lieberman, Henry and Hendler, James},
  interhash = {c13891cf929cd60403c8ac74ad73089b},
  intrahash = {cfd4dbb8db3f32dec6a0218f2dc83f4e},
  publisher = {MIT Press},
  title = {Spinning the Semantic Web: Bringing the World Wide Web
                to Its Full Potential},
  year = 2002
}

@article{hotho-etal-ldv-2005,
  author = {Hotho, Andreas and Nürnberger, Andreas and Paaß, Gerhard},
  interhash = {a324706344ddfce8a288870adeef18cb},
  intrahash = {6ecc8a3cee1a99bbb9f8f8dd6a9d2959},
  issn = {0175-1336},
  journal = {LDV Forum - GLDV Journal for Computational Linguistics and Language Technology},
  month = MAY,
  number = 1,
  pages = {19-62},
  title = { A Brief Survey of Text Mining},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2005/hotho05TextMining.pdf},
  vgwort = {44},
  volume = 20,
  year = 2005
}

@book{hoeppner1999fuzzy,
  author = {Höppner, Frank and Klawonn, Frank and Kruse, Rudolf and Runkler, Thomas},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  interhash = {daa6dcfce2b8fd6153cc8b89b142c263},
  intrahash = {8e77172459a6abf4c50dc14a5e1e0467},
  isbn = {3-540-40317-5},
  publisher = {John Wiley \& Sons, Inc.},
  title = {Fuzzy Cluster Analysis},
  year = 1999
}