PUMA publications for /user/hotho/mininghttps://puma.uni-kassel.de/user/hotho/miningPUMA RSS feed for /user/hotho/mining2024-03-29T01:00:21+01:00Proceedings 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, 2014https://puma.uni-kassel.de/bibtex/2cfb7265080d484cfda32e1fbdaff361f/hothohotho2014-10-29T11:30:00+01:002014 data mining myown nlp workshop <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="editor"><a title="Peggy Cellier" itemprop="url" href="/author/Peggy%20Cellier"><span itemprop="name">P. Cellier</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="editor"><a title="Thierry Charnois" itemprop="url" href="/author/Thierry%20Charnois"><span itemprop="name">T. Charnois</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="editor"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="editor"><a title="Stan Matwin" itemprop="url" href="/author/Stan%20Matwin"><span itemprop="name">S. Matwin</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="editor"><a title="Marie-Francine Moens" itemprop="url" href="/author/Marie%7b-%7dFrancine%20Moens"><span itemprop="name">M. Moens</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="editor"><a title="Yannick Toussaint" itemprop="url" href="/author/Yannick%20Toussaint"><span itemprop="name">Y. Toussaint</span></a></span> (Hrsg.).
. </span><em>Volume 1202 von CEUR Workshop Proceedings, </em><em><span itemprop="publisher">CEUR-WS.org</span>, </em>(<em><span>2014<meta content="2014" itemprop="datePublished"/></span></em>)Wed Oct 29 11:30:00 CET 2014{CEUR} Workshop ProceedingsProceedings 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, 2014120220142014 data mining myown nlp workshop Ubicon and its Applications for Ubiquitous Social Computinghttps://puma.uni-kassel.de/bibtex/2176e4f2816af5fe1630ed65e062900ce/hothohotho2014-10-29T11:11:17+01:002014 analytics mining myown social ubicon ubiquitous <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Martin Atzmueller" itemprop="url" href="/author/Martin%20Atzmueller"><span itemprop="name">M. Atzmueller</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Martin Becker" itemprop="url" href="/author/Martin%20Becker"><span itemprop="name">M. Becker</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mark Kibanov" itemprop="url" href="/author/Mark%20Kibanov"><span itemprop="name">M. Kibanov</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christoph Scholz" itemprop="url" href="/author/Christoph%20Scholz"><span itemprop="name">C. Scholz</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Stephan Doerfel" itemprop="url" href="/author/Stephan%20Doerfel"><span itemprop="name">S. Doerfel</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bjoern-Elmar Macek" itemprop="url" href="/author/Bjoern-Elmar%20Macek"><span itemprop="name">B. Macek</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Folke Mitzlaff" itemprop="url" href="/author/Folke%20Mitzlaff"><span itemprop="name">F. Mitzlaff</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Juergen Mueller" itemprop="url" href="/author/Juergen%20Mueller"><span itemprop="name">J. Mueller</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>New Review of Hypermedia and Multimedia</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">20 </span></span>(<span itemprop="issueNumber">1</span>):
<span itemprop="pagination">53--77</span></em> </span>(<em><span>2014<meta content="2014" itemprop="datePublished"/></span></em>)Wed Oct 29 11:11:17 CET 2014New Review of Hypermedia and Multimedia153--77{Ubicon and its Applications for Ubiquitous Social Computing}2020142014 analytics mining myown social ubicon ubiquitous The combination of ubiquitous and social computing is an emerging
research area which integrates different but complementary methods,
techniques and tools. In this paper, we focus on the Ubicon platform,
its applications, and a large spectrum of analysis results.
Ubicon provides an extensible framework for building and hosting applications
targeting both ubiquitous and social environments. We summarize the
architecture and exemplify its implementation using four real-world
applications built on top of Ubicon. In addition, we discuss several
scientific experiments in the context of these applications in order
to give a better picture of the potential of the framework, and discuss
analysis results using several real-world data sets collected utilizing
Ubicon.On the Semantics of User Interaction in Social Media (Extended Abstract, Resubmission)https://puma.uni-kassel.de/bibtex/2820ffb2166b330bf60bb30b16e426553/hothohotho2014-01-08T20:03:38+01:002013 mining myown social ubiquitous <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Folke Mitzlaff" itemprop="url" href="/author/Folke%20Mitzlaff"><span itemprop="name">F. Mitzlaff</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Martin Atzmueller" itemprop="url" href="/author/Martin%20Atzmueller"><span itemprop="name">M. Atzmueller</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proc. LWA 2013 (KDML Special Track)</span>, </em></span><em>Bamberg, Germany, </em><em><span itemprop="publisher">University of Bamberg</span>, </em>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)Wed Jan 08 20:03:38 CET 2014Bamberg, GermanyProc. LWA 2013 (KDML Special Track){On the Semantics of User Interaction in Social Media (Extended Abstract, Resubmission)}20112013 mining myown social ubiquitous Ubiquitous Datahttps://puma.uni-kassel.de/bibtex/256f2940d5d0f2ce59c342d3b8ad42ca1/hothohotho2013-06-02T20:11:36+02:002010 data dm mining myown social ubiquitous <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Rasmus Ulslev Pedersen" itemprop="url" href="/author/Rasmus%20%7bUlslev%20Pedersen%7d"><span itemprop="name">R. Ulslev Pedersen</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Michael Wurst" itemprop="url" href="/author/Michael%20Wurst"><span itemprop="name">M. Wurst</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>Lecture Notes in Computer Science</em></span></span> </span>(<em><span>2010<meta content="2010" itemprop="datePublished"/></span></em>)Sun Jun 02 20:11:36 CEST 2013Lecture Notes in Computer Science620261--74Ubiquitous Data20102010 data dm mining myown social ubiquitous Data mining concepts and techniques, third editionhttps://puma.uni-kassel.de/bibtex/2beb274b9aeaebb87f5423781b6839f54/hothohotho2013-04-15T17:17:42+02:00data mining tobuy <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jiawei Han" itemprop="url" href="/author/Jiawei%20Han"><span itemprop="name">J. Han</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Micheline Kamber" itemprop="url" href="/author/Micheline%20Kamber"><span itemprop="name">M. Kamber</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jian Pei" itemprop="url" href="/author/Jian%20Pei"><span itemprop="name">J. Pei</span></a></span>. </span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)Mon Apr 15 17:17:42 CEST 2013Waltham, Mass.Data mining concepts and techniques, third edition2012data mining tobuy Data Mining: Concepts and Techniques (Morgan Kaufmann Series in Data Management Systems): Amazon.de: Jiawei Han, Micheline Kamber, Jian Pei: Englische BücherData mining : concepts and techniqueshttps://puma.uni-kassel.de/bibtex/21cf9e5362e9f34194abad46a4ff9c771/hothohotho2013-04-15T17:15:37+02:00data mining tobuy weka <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jiawei Han" itemprop="url" href="/author/Jiawei%20Han"><span itemprop="name">J. Han</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Micheline Kamber" itemprop="url" href="/author/Micheline%20Kamber"><span itemprop="name">M. Kamber</span></a></span>. </span><em><span itemprop="publisher">Elsevier/Morgan Kaufmann</span>, </em><em>Amsterdam u.a., </em>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)Mon Apr 15 17:15:37 CEST 2013Amsterdam [u.a.]Data mining : concepts and techniques2011data mining tobuy weka Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems): Amazon.de: Ian H. Witten, Eibe Frank, Mark A. Hall: Englische BücherData mining for the masseshttps://puma.uni-kassel.de/bibtex/2b382402685b65047b826d48260dca7d6/hothohotho2013-04-15T17:14:01+02:00data mining tobuy <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Matthew North" itemprop="url" href="/author/Matthew%20North"><span itemprop="name">M. North</span></a></span>. </span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)Mon Apr 15 17:14:01 CEST 2013Data mining for the masses2012data mining tobuy Data Mining for the Masses: Amazon.de: Dr. Matthew A North: Englische BücherProceedings of the Third International Workshop on Mining Ubiquitous and Social Environments (MUSE 2012)https://puma.uni-kassel.de/bibtex/25304ffe0848eccd3938b50c811d2556d/hothohotho2012-12-12T13:51:00+01:002012 mining muse myown <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="editor"><a title="Martin Atzmueller" itemprop="url" href="/author/Martin%20Atzmueller"><span itemprop="name">M. Atzmueller</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="editor"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span> (Hrsg.).
. </span><em><span itemprop="publisher">Workshop Notes</span>, </em><em>Bristol, UK, </em>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)Wed Dec 12 13:51:00 CET 2012Bristol, UK{Proceedings of the Third International Workshop on Mining Ubiquitous and Social Environments (MUSE 2012)}20122012 mining muse myown Modeling and Mining Ubiquitous Social Mediahttps://puma.uni-kassel.de/bibtex/2a0e5d144b39199fa4acb6319f29e7a15/hothohotho2012-12-12T09:52:29+01:002012 everyaware media mining modeling myown social ubiquitous <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="editor"><a title="Martin Atzmueller" itemprop="url" href="/author/Martin%20Atzmueller"><span itemprop="name">M. Atzmueller</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="editor"><a title="Alvin Chin" itemprop="url" href="/author/Alvin%20Chin"><span itemprop="name">A. Chin</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="editor"><a title="Denis Helic" itemprop="url" href="/author/Denis%20Helic"><span itemprop="name">D. Helic</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="editor"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span> (Hrsg.).
. </span><em>Lecture Notes in Computer Science </em><em><span itemprop="publisher">Springer Verlag</span>, </em><em>Heidelberg, Germany, </em>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)Wed Dec 12 09:52:29 CET 2012Heidelberg, GermanyLecture Notes in Computer ScienceModeling and Mining Ubiquitous Social Media747220122012 everyaware media mining modeling myown social ubiquitous Combining Data-Driven and Semantic Approaches for Text Mining.https://puma.uni-kassel.de/bibtex/221be5153a8f491c9f209d57ce7662387/hothohotho2012-06-21T15:38:20+02:002011 data mining myown semantic text <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Stephan Bloehdorn" itemprop="url" href="/author/Stephan%20Bloehdorn"><span itemprop="name">S. Bloehdorn</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sebastian Blohm" itemprop="url" href="/author/Sebastian%20Blohm"><span itemprop="name">S. Blohm</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Philipp Cimiano" itemprop="url" href="/author/Philipp%20Cimiano"><span itemprop="name">P. Cimiano</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Eugenie Giesbrecht" itemprop="url" href="/author/Eugenie%20Giesbrecht"><span itemprop="name">E. Giesbrecht</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Uta Lösch" itemprop="url" href="/author/Uta%20L%c3%b6sch"><span itemprop="name">U. Lösch</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alexander Mädche" itemprop="url" href="/author/Alexander%20M%c3%a4dche"><span itemprop="name">A. Mädche</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Eddie Mönch" itemprop="url" href="/author/Eddie%20M%c3%b6nch"><span itemprop="name">E. Mönch</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Philipp Sorg" itemprop="url" href="/author/Philipp%20Sorg"><span itemprop="name">P. Sorg</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Steffen Staab" itemprop="url" href="/author/Steffen%20Staab"><span itemprop="name">S. Staab</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Johanna Völker" itemprop="url" href="/author/Johanna%20V%c3%b6lker"><span itemprop="name">J. Völker</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Foundations for the Web of Information and Services</span>, </em></span><em>Seite <span itemprop="pagination">115-142</span>. </em><em><span itemprop="publisher">Springer</span>, </em>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)Thu Jun 21 15:38:20 CEST 2012Foundations for the Web of Information and Servicesconf/birthday/2011studer115-142Combining Data-Driven and Semantic Approaches for Text Mining.20112011 data mining myown semantic text From Semantic Web Mining to Social and Ubiquitous Mining - A Subjective View on Past, Current, and Future Research.https://puma.uni-kassel.de/bibtex/2845a2a6bf9a43be9e85741a6c7d2aa2d/hothohotho2012-06-21T15:37:38+02:002011 mining myown social ubiquitous web <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Foundations for the Web of Information and Services</span>, </em></span><em>Seite <span itemprop="pagination">143-153</span>. </em><em><span itemprop="publisher">Springer</span>, </em>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)Thu Jun 21 15:37:38 CEST 2012Foundations for the Web of Information and Servicesconf/birthday/2011studer143-153From Semantic Web Mining to Social and Ubiquitous Mining - A Subjective View on Past, Current, and Future Research.20112011 mining myown social ubiquitous web Proceedings of the 2011 International Workshop on Mining Ubiquitous and Social Environments (MUSE 2011)https://puma.uni-kassel.de/bibtex/287b0576f542aa6de352a2bff1428ce6b/hothohotho2011-11-30T14:53:07+01:002011 mining muse myown <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="editor"><a title="Martin Atzmueller" itemprop="url" href="/author/Martin%20Atzmueller"><span itemprop="name">M. Atzmueller</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="editor"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span> (Hrsg.).
. </span><em><span itemprop="publisher">ECML/PKDD 2011</span>, </em><em>Athens, Greece, </em>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)Wed Nov 30 14:53:07 CET 2011Athens, Greece{Proceedings of the 2011 International Workshop on Mining Ubiquitous and Social Environments (MUSE 2011)}20112011 mining muse myown Community Assessment using Evidence Networkshttps://puma.uni-kassel.de/bibtex/20f45e870093c053e6f41f54c14bda46b/hothohotho2011-11-30T14:49:15+01:002011 community evaluation knowledge mining myown <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Folke Mitzlaff" itemprop="url" href="/author/Folke%20Mitzlaff"><span itemprop="name">F. Mitzlaff</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Martin Atzmueller" itemprop="url" href="/author/Martin%20Atzmueller"><span itemprop="name">M. Atzmueller</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dominik Benz" itemprop="url" href="/author/Dominik%20Benz"><span itemprop="name">D. Benz</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Analysis of Social Media and Ubiquitous Data</span>, </em></span><em>Volume 6904 von LNAI, </em>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)Wed Nov 30 14:49:15 CET 2011Analysis of Social Media and Ubiquitous DataLNAI{Community Assessment using Evidence Networks}690420112011 community evaluation knowledge mining myown Towards Mining Semantic Maturity in Social Bookmarking Systemshttps://puma.uni-kassel.de/bibtex/2a47a41658592202811f0139d4bb65871/hothohotho2011-11-30T14:47:12+01:002011 bookmarking mining myown pattern semantic social <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Martin Atzmueller" itemprop="url" href="/author/Martin%20Atzmueller"><span itemprop="name">M. Atzmueller</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dominik Benz" itemprop="url" href="/author/Dominik%20Benz"><span itemprop="name">D. Benz</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Hotho" itemprop="url" href="/author/Andreas%20Hotho"><span itemprop="name">A. Hotho</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the 4th international workshop on Social Data on the Web (SDoW2011)</span>, </em></span>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)Wed Nov 30 14:47:12 CET 2011Proceedings of the 4th international workshop on Social Data on the Web (SDoW2011)Towards Mining Semantic Maturity in Social Bookmarking Systems20112011 bookmarking mining myown pattern semantic social A Framework for Emotion Mining from Text in Online Social Networks.https://puma.uni-kassel.de/bibtex/28b0afeee143cec94f3058c214ae38c6f/hothohotho2011-10-01T11:19:07+02:00emotion everyaware mining text toread <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohamed Yassine" itemprop="url" href="/author/Mohamed%20Yassine"><span itemprop="name">M. Yassine</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hazem Hajj" itemprop="url" href="/author/Hazem%20Hajj"><span itemprop="name">H. Hajj</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">ICDM Workshops</span>, </em></span><em>Seite <span itemprop="pagination">1136-1142</span>. </em><em><span itemprop="publisher">IEEE Computer Society</span>, </em>(<em><span>2010<meta content="2010" itemprop="datePublished"/></span></em>)Sat Oct 01 11:19:07 CEST 2011ICDM Workshopsconf/icdm/2010w1136-1142A Framework for Emotion Mining from Text in Online Social Networks.2010emotion everyaware mining text toread Statistical Topic Models for Multi-Label Document Classificationhttps://puma.uni-kassel.de/bibtex/2f8a5a3958ae264d19c7f5415eb7f0bce/hothohotho2011-09-14T08:20:38+02:00mining model text tm topic toread <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Timothy N. Rubin" itemprop="url" href="/author/Timothy%20N.%20Rubin"><span itemprop="name">T. Rubin</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="America Chambers" itemprop="url" href="/author/America%20Chambers"><span itemprop="name">A. Chambers</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Padhraic Smyth" itemprop="url" href="/author/Padhraic%20Smyth"><span itemprop="name">P. Smyth</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mark Steyvers" itemprop="url" href="/author/Mark%20Steyvers"><span itemprop="name">M. Steyvers</span></a></span>. </span>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)<em>cite arxiv:1107.2462.</em>Wed Sep 14 08:20:38 CEST 2011cite arxiv:1107.2462Statistical Topic Models for Multi-Label Document Classification2011mining model text tm topic toread 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. Statistical Topic Models for Multi-Label Document ClassificationText mining : classification, clustering, and applicationshttps://puma.uni-kassel.de/bibtex/245ab79501c114299142864becfa6c841/hothohotho2011-09-13T12:13:05+02:00mining text toread <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Asho Srivastava" itemprop="url" href="/author/Asho%20Srivastava"><span itemprop="name">A. Srivastava</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mehran. Sahami" itemprop="url" href="/author/Mehran.%20Sahami"><span itemprop="name">M. Sahami</span></a></span>. </span><em><span itemprop="publisher">CRC Press</span>, </em><em>Boca Raton, FL, </em>(<em><span>2009<meta content="2009" itemprop="datePublished"/></span></em>)Tue Sep 13 12:13:05 CEST 2011Boca Raton, FL--Text mining : classification, clustering, and applications2009mining text toread 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.CRC Press Online - Book: Text MiningWhat Do You Do with a Million Books?https://puma.uni-kassel.de/bibtex/2eea7ae2ac1480c84f87544f2942c28f2/hothohotho2011-05-20T09:41:32+02:00Book Mining Text google tm toread <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gregory Crane" itemprop="url" href="/author/Gregory%20Crane"><span itemprop="name">G. Crane</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>D-Lib Magazine</em></span></span> </span>(<em><span>März 2006<meta content="März 2006" itemprop="datePublished"/></span></em>)Fri May 20 09:41:32 CEST 2011D-Lib MagazineMarch 3What Do You Do with a Million Books?122006Book Mining Text google tm toread A survey on pagerank computinghttps://puma.uni-kassel.de/bibtex/250de350b2ae298909eef39a11d0f682c/hothohotho2011-03-25T16:19:09+01:00data mining pagerank survey <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Pavel Berkhin" itemprop="url" href="/author/Pavel%20Berkhin"><span itemprop="name">P. Berkhin</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>Internet Mathematics</em></span></span> </span>(<em><span>2005<meta content="2005" itemprop="datePublished"/></span></em>)Fri Mar 25 16:19:09 CET 2011Internet Mathematics73--120A survey on pagerank computing22005data mining pagerank survey 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.A survey on pagerank computingAdvances in knowledge discovery and data mininghttps://puma.uni-kassel.de/bibtex/2d0b54b224b992e51d892d0f06d45cf6b/hothohotho2011-01-17T15:24:44+01:00data definition discovery knowledge mining <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Usama M. Fayyad" itemprop="url" href="/author/Usama%20M.%20Fayyad"><span itemprop="name">U. Fayyad</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gregory Piatetsky-Shapiro" itemprop="url" href="/author/Gregory%20Piatetsky-Shapiro"><span itemprop="name">G. Piatetsky-Shapiro</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Padhraic Smyth" itemprop="url" href="/author/Padhraic%20Smyth"><span itemprop="name">P. Smyth</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em>Kapitel From data mining to knowledge discovery: an overview, </em><em><span itemprop="publisher">American Association for Artificial Intelligence</span>, </em><em>Menlo Park, CA, USA, </em></span>(<em><span>1996<meta content="1996" itemprop="datePublished"/></span></em>)Mon Jan 17 15:24:44 CET 2011Menlo Park, CA, USAFrom data mining to knowledge discovery: an overview1--34Advances in knowledge discovery and data mining1996data definition discovery knowledge mining From data mining to knowledge discovery