BibSonomyburst/user/stumme/fcaBibSonomy RSS feed for /user/stumme/fca2012-02-15T17:13:23+01:00http://www.bibsonomy.org/bibtex/2d93292a7637bd2061b67f4934e7dde46/stummestumme2009-11-27T21:23:21+01:002001 FCA OntologyHandbook analysis association bases closed concept condensed discovery fca formal itemsets kdd knowledge mining myown representations rule rules <span class="authorEditorList"><a href="/author/Stumme">G. Stumme</a>, <a href="/author/Taouil">R. Taouil</a>, <a href="/author/Bastide">Y. Bastide</a>, <a href="/author/Pasquier">N. Pasquier</a>, and <a href="/author/Lakhal">L. Lakhal</a> </span><em>KI 2001: Advances in Artificial Intelligence. KI 2001, </em><em>volume 2174 of LNAI, </em><em>page 335-350. </em><em>Heidelberg, </em><em>Springer, </em>(<em>2001</em>)Fri Nov 27 21:23:21 CET 2009HeidelbergKI 2001: Advances in Artificial Intelligence. KI 2001335-350LNAIIntelligent Structuring and Reducing of Association Rules and with Formal Concept Analysis217420012001 FCA OntologyHandbook analysis association bases closed concept condensed discovery fca formal itemsets kdd knowledge mining myown representations rule rules http://www.bibsonomy.org/bibtex/24e27c7e9fff8c5663c4263de19001a94/stummestumme2009-07-14T22:34:36+02:00analysis concept fca formal myown ontologyhandbook trias <span class="authorEditorList"><a href="/author/Jäschke">Robert Jäschke</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Ganter">Bernhard Ganter</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Web Semant.</em> <em>6(1):38--53</em> (<em>2008</em>)Tue Jul 14 22:34:36 CEST 2009Amsterdam, The Netherlands, The NetherlandsWeb Semant.138--53Discovering shared conceptualizations in folksonomies62008analysis concept fca formal myown ontologyhandbook trias Social bookmarking tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. Unlike ontologies, shared conceptualizations are not formalized, but rather implicit. We present a new data mining task, the mining of all frequent tri-concepts, together with an efficient algorithm, for discovering these implicit shared conceptualizations. Our approach extends the data mining task of discovering all closed itemsets to three-dimensional data structures to allow for mining folksonomies. We provide a formal definition of the problem, and present an efficient algorithm for its solution. Finally, we show the applicability of our approach on three large real-world examples.Discovering shared conceptualizations in folksonomieshttp://www.bibsonomy.org/bibtex/2d366e42880a2d2991cbfa6abc53b8fe4/stummestumme2009-07-03T15:31:35+02:002002 FCA OntologyHandbook courseware crawler edutella fca myown ontologies p2p semantic watchdog web <span class="authorEditorList"><a href="/author/Schmitz">C. Schmitz</a>, <a href="/author/Staab">S. Staab</a>, <a href="/author/Studer">R. Studer</a>, <a href="/author/Stumme">G. Stumme</a>, and <a href="/author/Tane">J. Tane</a> </span><em>Proc. of E-Learning 2002 World Conference on E-Learning in Corporate, Government, Healthcare and Higher Education on E-Learning 2002, </em><em> AACE, </em><em>page 909-915. </em><em>Norfolk, </em>(<em>2002</em>)<em>Awarded paper . </em>Fri Jul 03 15:31:35 CEST 2009NorfolkProc. of E-Learning 2002 World Conference on E-Learning in Corporate, Government, Healthcare and Higher Education on (E-Learning 2002){A}warded paper909-915Accessing Distributed Learning Repositories through a Courseware WatchdogAACE20022002 FCA OntologyHandbook courseware crawler edutella fca myown ontologies p2p semantic watchdog web http://www.bibsonomy.org/bibtex/2577e0f2074bbece17498848014d14705/stummestumme2009-07-03T00:26:53+02:002000 FCA OntologyHandbook analysis ckdd concept conceptual discovery fca formal kdd knowledge myown <span class="authorEditorList"><a href="/author/Hereth">J. Hereth</a>, <a href="/author/Stumme">G. Stumme</a>, <a href="/author/Wille">R. Wille</a>, and <a href="/author/Wille">U. Wille</a> </span><em>Conceptual Structures: Logical, Linguistic, and Computational Issues. Proc. ICCS &#039;00, </em><em>volume 1867 of LNAI, </em><em>page 421-437. </em><em>Heidelberg, </em><em>Springer, </em>(<em>2000</em>)Fri Jul 03 00:26:53 CEST 2009HeidelbergConceptual Structures: Logical, Linguistic, and Computational Issues. Proc. ICCS '00421-437LNAIConceptual Knowledge Discovery and Data Analysis186720002000 FCA OntologyHandbook analysis ckdd concept conceptual discovery fca formal kdd knowledge myown http://www.bibsonomy.org/bibtex/2aa16abb7f91c21ae9d27638a2e8804d6/stummestumme2009-07-03T00:24:32+02:002000 FCA OntologyHandbook myown <span class="authorEditorList"><a href="/author/Stumme">G. Stumme</a> </span><em>Springer, Heidelberg, </em>(<em>2000</em>)Fri Jul 03 00:24:32 CEST 2009Begriffliche Wissensverarbeitung -- Methoden und Anwendungen 20002000 FCA OntologyHandbook myown http://www.bibsonomy.org/bibtex/26cc2aea3462fc632d8677fc4d57051b0/stummestumme2009-07-03T00:23:48+02:002000 analysis cem concept email fca formal mail management manager myown nepomuk <span class="authorEditorList"><a href="/author/Cole">R. Cole</a>, <a href="/author/Eklund">P. Eklund</a>, and <a href="/author/Stumme">G. Stumme</a> </span><em>Principles of Data Mining and Knowledge Discovery. Proc. PKDD 2000, </em><em>volume 1910 of LNAI, </em><em>page 367-374. </em><em>Heidelberg-Berlin, </em><em>Springer, </em>(<em>2000</em>)Fri Jul 03 00:23:48 CEST 2009Heidelberg-BerlinPrinciples of Data Mining and Knowledge Discovery. Proc. PKDD 2000367-374LNAI{CEM} -- A Program for Visualization and Discovery in Email191020002000 analysis cem concept email fca formal mail management manager myown nepomuk http://www.bibsonomy.org/bibtex/21e79f8ba76044d2c78cea441eeba84aa/stummestumme2009-07-03T00:22:55+02:002000 FCA OntologyHandbook analys association closed concept condensed data discovery fca formal frequent itemsets kdd knowledge mining myown representation representations rule rules <span class="authorEditorList"><a href="/author/Bastide">Y. Bastide</a>, <a href="/author/Taouil">R. Taouil</a>, <a href="/author/Pasquier">N. Pasquier</a>, <a href="/author/Stumme">G. Stumme</a>, and <a href="/author/Lakhal">L. Lakhal</a> </span><em>SIGKDD Explorations, Special Issue on Scalable Algorithms</em> <em>2(2):71-80</em> (<em>2000</em>)Fri Jul 03 00:22:55 CEST 2009SIGKDD Explorations, Special Issue on Scalable Algorithms271-80Mining Frequent Patterns with Counting Inference.220002000 FCA OntologyHandbook analys association closed concept condensed data discovery fca formal frequent itemsets kdd knowledge mining myown representation representations rule rules http://www.bibsonomy.org/bibtex/225fa3431e7bdd7057f9b80a7385cd718/stummestumme2009-07-03T00:21:06+02:002000 analys association closed concept condensed data discovery fca formal frequent itemsets kdd knowledge mining myown representation representations rule rules <span class="authorEditorList"><a href="/author/Bastide">Y. Bastide</a>, <a href="/author/Pasquier">N. Pasquier</a>, <a href="/author/Taouil">R. Taouil</a>, <a href="/author/Stumme">G. Stumme</a>, and <a href="/author/Lakhal">L. Lakhal</a> </span><em>Computational Logic --- CL 2000 Proc. CL&#039;00, </em><em>volume 1861 of LNAI, </em><em>Heidelberg, </em><em>Springer, </em>(<em>2000</em>)Fri Jul 03 00:21:06 CEST 2009HeidelbergComputational Logic --- CL 2000 Proc. CL'00LNAIMining Minimal Non-Redundant Association Rules Using Frequent Closed Itemsets186120002000 analys association closed concept condensed data discovery fca formal frequent itemsets kdd knowledge mining myown representation representations rule rules http://www.bibsonomy.org/bibtex/2f4ec21d5f63dbc213a3a6eae076c4b62/stummestumme2009-07-03T00:19:24+02:002001 analysis closed clustering concept conceptual discovery fca formal iceberg itemsets kdd knowledge lattices myown <span class="authorEditorList"><a href="/author/Stumme">G. Stumme</a>, <a href="/author/Taouil">R. Taouil</a>, <a href="/author/Bastide">Y. Bastide</a>, and <a href="/author/Lakhal">L. Lakhal</a> </span><em>Proc. GI-Fachgruppentreffen Maschinelles Lernen FGML&#039;01, </em><em>Universität Dortmund 763, </em>(<em>October 2001</em>)Fri Jul 03 00:19:24 CEST 2009Universität Dortmund 763Proc. GI-Fachgruppentreffen Maschinelles Lernen (FGML'01)OctoberConceptual Clustering with Iceberg Concept Lattices20012001 analysis closed clustering concept conceptual discovery fca formal iceberg itemsets kdd knowledge lattices myown http://www.bibsonomy.org/bibtex/20adce6a0db24566bb55d6e2d6667c8e7/stummestumme2009-07-03T00:17:01+02:002002 association closed condensed data discovery fca itemsets kdd knowledge mining myown representations rules <span class="authorEditorList"><a href="/author/Stumme">G. Stumme</a> </span><em>Database and Expert Systems Applications. Proc. DEXA 2002, </em><em>volume 2453 of LNCS, </em><em>page 534-546. </em><em>Heidelberg, </em><em>Springer, </em>(<em>2002</em>)Fri Jul 03 00:17:01 CEST 2009HeidelbergDatabase and Expert Systems Applications. Proc. DEXA 2002534-546LNCSEfficient Data Mining Based on Formal Concept Analysis245320022002 association closed condensed data discovery fca itemsets kdd knowledge mining myown representations rules http://www.bibsonomy.org/bibtex/22b350f817428e4c6c7259cd279815091/stummestumme2009-07-03T00:14:04+02:002005 analysis association book closed concept condensed data discovery fca formal itegpub itemsets kdd knowledge l3s mining myown representations rules <span class="authorEditorList"><a href="/author/Lakhal">Lotfi Lakhal</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>volume 3626 of LNAI, </em><em>page 180-195. </em><em>Springer, </em><em>Heidelberg, </em>(<em>2005</em>)Fri Jul 03 00:14:04 CEST 2009HeidelbergFormal Concept Analysis: Foundations and Applications180-195LNAIEfficient Mining of Association Rules Based on Formal Concept Analysis362620052005 analysis association book closed concept condensed data discovery fca formal itegpub itemsets kdd knowledge l3s mining myown representations rules Association rules are a popular knowledge discovery technique for warehouse basket analysis. They indicate which items of the warehouse are frequently bought together. The problem of association rule mining has first been stated in 1993. Five years later, several research groups discovered that this problem has a strong connection to Formal Concept Analysis (FCA). In this survey, we will first introduce some basic ideas of this connection along a specific algorithm, \titanic, and show how FCA helps in reducing the number of resulting rules without loss of information, before giving a general overview over the history and state of the art of applying FCA for association rule mining.http://www.bibsonomy.org/bibtex/2da6c676c5664017247c7564fc247b190/stummestumme2009-07-03T00:01:45+02:002007 emergent fca folksonomies folksonomy itegpub l3s myown network semantics seminar2009 tagorapub <span class="authorEditorList"><a href="/author/Cattuto">Ciro Cattuto</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Baldassarri">Andrea Baldassarri</a>, <a href="/author/Servedio">Vito D. P. Servedio</a>, <a href="/author/Loreto">Vittorio Loreto</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Grahl">Miranda Grahl</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering&#039;&#039;</em> <em>20(4):245-262</em> (<em>2007</em>)Fri Jul 03 00:01:45 CEST 2009AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering''4245-262Network Properties of Folksonomies2020072007 emergent fca folksonomies folksonomy itegpub l3s myown network semantics seminar2009 tagorapub See http://www.bibsonomy.org/bibtex/2e1a5234a896b1f422473b1fe5d91e26b/stumme for a shorter workshop version.http://www.bibsonomy.org/bibtex/23c301945817681d637ee43901c016939/stummestumme2009-07-02T00:08:08+02:002006 FCA IR OntologyHandbook folkrank folksonomy information informationretrieval itegpub mimose myown pagerank ranking retrieval <span class="authorEditorList"><a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>The Semantic Web: Research and Applications, </em><em>volume 4011 of LNAI, </em><em>page 411-426. </em><em>Heidelberg, </em><em>Springer, </em>(<em>June 2006</em>)Thu Jul 02 00:08:08 CEST 2009HeidelbergThe Semantic Web: Research and ApplicationsJune411-426LNAIInformation Retrieval in Folksonomies: Search and Ranking401120062006 FCA IR OntologyHandbook folkrank folksonomy information informationretrieval itegpub mimose myown pagerank ranking retrieval http://www.bibsonomy.org/bibtex/2e387c294129e11f4221514d5fa807e26/stummestumme2009-03-02T21:40:27+01:002006 FCA OntologyHandbook algorithm analysis concept fca folksonomies folksonomy formal iceberg itegpub lattices myown nepomuk tagging tri triadic trias <span class="authorEditorList"><a href="/author/Jäschke">Robert Jäschke</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Ganter">Bernhard Ganter</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Proceedings of the 6th IEEE International Conference on Data Mining ICDM 06, </em><em>page 907-911. </em><em>Hong Kong, </em><em>IEEE Computer Society, </em>(<em>December 2006</em>)Mon Mar 02 21:40:27 CET 2009Hong KongProceedings of the 6th IEEE International Conference on Data Mining (ICDM 06)December907-911TRIAS - An Algorithm for Mining Iceberg Tri-Lattices20062006 FCA OntologyHandbook algorithm analysis concept fca folksonomies folksonomy formal iceberg itegpub lattices myown nepomuk tagging tri triadic trias http://www.bibsonomy.org/bibtex/21e79a0f1c79561073d14434adce1e890/stummestumme2009-03-02T21:38:46+01:002006 FCA OntologyHandbook association folksonomy itegpub myown rule <span class="authorEditorList"><a href="/author/Schmitz">Christoph Schmitz</a>, <a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Data Science and Classification: Proc. of the 10th IFCS Conf., </em><em>page 261--270. </em><em>Berlin, Heidelberg, </em><em>Springer, </em>(<em>2006</em>)Mon Mar 02 21:38:46 CET 2009Berlin, HeidelbergData Science and Classification: Proc. of the 10th IFCS Conf.261--270Studies in Classification, Data Analysis, and Knowledge OrganizationMining Association Rules in Folksonomies20062006 FCA OntologyHandbook association folksonomy itegpub myown rule