PUMA publications for /tag/introductionhttps://puma.uni-kassel.de/tag/introductionPUMA RSS feed for /tag/introduction2024-03-29T09:47:59+01:00An Introduction to Ontology Learninghttps://puma.uni-kassel.de/bibtex/2cf6a6785f5cab0525632a003c47ef5f7/hothohotho2015-01-29T15:09:38+01:00introduction learning ontology <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jens Lehmann" itemprop="url" href="/author/Jens%20Lehmann"><span itemprop="name">J. Lehmann</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Johanna Voelker" itemprop="url" href="/author/Johanna%20Voelker"><span itemprop="name">J. Voelker</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Perspectives on Ontology Learning</span>, </em><em><span itemprop="publisher">AKA / IOS Press</span>, </em></span>(<em><span>2014<meta content="2014" itemprop="datePublished"/></span></em>)Thu Jan 29 15:09:38 CET 2015Perspectives on Ontology Learningix-xviAn Introduction to Ontology Learning2014introduction learning ontology NELL Is a Computer That Reads the Web - With a Little Human Helphttps://puma.uni-kassel.de/bibtex/28d09e20df09a7df761eb23ca223d3391/hothohotho2014-11-20T13:27:27+01:00introduction nell read sota web <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Steve Lohr" itemprop="url" href="/author/Steve%20Lohr"><span itemprop="name">S. Lohr</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"> </span>(<em><span>March 11, 2013<meta content="March 11, 2013" itemprop="datePublished"/></span></em>)Thu Nov 20 13:27:27 CET 2014NELL Is a Computer That Reads the Web - With a Little Human HelpMarch 11, 2013introduction nell read sota web Introduction to Information Retrievalhttps://puma.uni-kassel.de/bibtex/29f4ab13e07b48b9723113aa74224be65/hothohotho2014-11-20T09:05:37+01:00information introduction ir retrieval sota <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christopher D. Manning" itemprop="url" href="/author/Christopher%20D.%20Manning"><span itemprop="name">C. Manning</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Prabhakar Raghavan" itemprop="url" href="/author/Prabhakar%20Raghavan"><span itemprop="name">P. Raghavan</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hinrich Schütze" itemprop="url" href="/author/Hinrich%20Sch%c3%bctze"><span itemprop="name">H. Schütze</span></a></span>. </span><em><span itemprop="publisher">Cambridge University Press</span>, </em>(<em><span>2008<meta content="2008" itemprop="datePublished"/></span></em>)Thu Nov 20 09:05:37 CET 2014Introduction to Information Retrieval2008information introduction ir retrieval sota Introduction to Information RetrievalThe sixth ACM RecSys workshop on recommender systems and the social
webhttps://puma.uni-kassel.de/bibtex/25773f799bec72240eda5e6cfb6a03d7b/hothohotho2014-10-29T11:28:04+01:002014 introduction myown recommender social workshop <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dietmar Jannach" itemprop="url" href="/author/Dietmar%20Jannach"><span itemprop="name">D. Jannach</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jill Freyne" itemprop="url" href="/author/Jill%20Freyne"><span itemprop="name">J. Freyne</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Werner Geyer" itemprop="url" href="/author/Werner%20Geyer"><span itemprop="name">W. Geyer</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ido Guy" itemprop="url" href="/author/Ido%20Guy"><span itemprop="name">I. Guy</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="Bamshad Mobasher" itemprop="url" href="/author/Bamshad%20Mobasher"><span itemprop="name">B. Mobasher</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Eighth ACM Conference on Recommender Systems, RecSys '14, Foster City, Silicon Valley, CA, USA - October 06 - 10, 2014</span>, </em></span><em>Seite <span itemprop="pagination">395</span>. </em>(<em><span>2014<meta content="2014" itemprop="datePublished"/></span></em>)Wed Oct 29 11:28:04 CET 2014Eighth {ACM} Conference on Recommender Systems, RecSys '14, Foster City, Silicon Valley, CA, {USA} - October 06 - 10, 2014395The sixth {ACM} RecSys workshop on recommender systems and the social
web20142014 introduction myown recommender social workshop Introduction to Information Retrievalhttps://puma.uni-kassel.de/bibtex/29f4ab13e07b48b9723113aa74224be65/stephandoerfelstephandoerfel2013-01-18T11:29:26+01:00book citedBy:doerfel2012leveraging information introduction ir retrieval <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christopher D. Manning" itemprop="url" href="/author/Christopher%20D.%20Manning"><span itemprop="name">C. Manning</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Prabhakar Raghavan" itemprop="url" href="/author/Prabhakar%20Raghavan"><span itemprop="name">P. Raghavan</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hinrich Schütze" itemprop="url" href="/author/Hinrich%20Sch%c3%bctze"><span itemprop="name">H. Schütze</span></a></span>. </span><em><span itemprop="publisher">Cambridge University Press</span>, </em><em>New York, </em>(<em><span>2008<meta content="2008" itemprop="datePublished"/></span></em>)Fri Jan 18 11:29:26 CET 2013New YorkIntroduction to Information Retrieval2008book citedBy:doerfel2012leveraging information introduction ir retrieval "Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures." -- Publisher's description.Recommender systems : an introductionhttps://puma.uni-kassel.de/bibtex/221abf93de5cf457f735f5beddec928a2/stephandoerfelstephandoerfel2012-12-21T15:26:17+01:00introduction recommender recsys <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dietmar Jannach" itemprop="url" href="/author/Dietmar%20Jannach"><span itemprop="name">D. Jannach</span></a></span>. </span><em><span itemprop="publisher">Cambridge University Press</span>, </em><em>New York, </em>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)Fri Dec 21 15:26:17 CET 2012New YorkRecommender systems : an introduction2011introduction recommender recsys Recommender Systems: An Introduction: Amazon.de: Dietmar Jannach, Markus Zanker, Alexander Felfernig, Gerhard Friedich: Englische BücherAn Introduction to Conditional Random Fieldshttps://puma.uni-kassel.de/bibtex/249d8c9beb76a8b88739aa9eece7446ee/stephandoerfelstephandoerfel2012-06-05T15:50:47+02:00condi conditional crf fields introduction <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Charles Sutton" itemprop="url" href="/author/Charles%20Sutton"><span itemprop="name">C. Sutton</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andrew McCallum" itemprop="url" href="/author/Andrew%20McCallum"><span itemprop="name">A. McCallum</span></a></span>. </span>(<em><span>2010<meta content="2010" itemprop="datePublished"/></span></em>)<em>cite arxiv:1011.4088Comment: 90 pages.</em>Tue Jun 05 15:50:47 CEST 2012cite arxiv:1011.4088Comment: 90 pagesAn Introduction to Conditional Random Fields2010condi conditional crf fields introduction Often we wish to predict a large number of variables that depend on each
other as well as on other observed variables. Structured prediction methods are
essentially a combination of classification and graphical modeling, combining
the ability of graphical models to compactly model multivariate data with the
ability of classification methods to perform prediction using large sets of
input features. This tutorial describes conditional random fields, a popular
probabilistic method for structured prediction. CRFs have seen wide application
in natural language processing, computer vision, and bioinformatics. We
describe methods for inference and parameter estimation for CRFs, including
practical issues for implementing large scale CRFs. We do not assume previous
knowledge of graphical modeling, so this tutorial is intended to be useful to
practitioners in a wide variety of fields.
An overview on subgroup discovery: foundations and applicationshttps://puma.uni-kassel.de/bibtex/23cef7c3a62fcc6ae55753570bd041f5e/hothohotho2012-02-15T07:57:35+01:00application discovery introduction overview subgroup survey <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Franciso Herrera" itemprop="url" href="/author/Franciso%20Herrera"><span itemprop="name">F. Herrera</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Cristóbal Carmona" itemprop="url" href="/author/Crist%c3%b3bal%20Carmona"><span itemprop="name">C. Carmona</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Pedro González" itemprop="url" href="/author/Pedro%20Gonz%c3%a1lez"><span itemprop="name">P. González</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="María del Jesus" itemprop="url" href="/author/Mar%c3%ada%20del%20Jesus"><span itemprop="name">M. del Jesus</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>Knowledge and Information Systems</em></span></span> </span>(<em><span>2010<meta content="2010" itemprop="datePublished"/></span></em>)Wed Feb 15 07:57:35 CET 2012Knowledge and Information Systems1-31An overview on subgroup discovery: foundations and applications2010application discovery introduction overview subgroup survey 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.SpringerLink - Knowledge and Information Systems, Online First™Introduction to lattices and orderhttps://puma.uni-kassel.de/bibtex/2df19796e33c1e2c861b613e3c8a86f58/stephandoerfelstephandoerfel2011-12-23T01:05:17+01:00fca introduction lattice order <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Brian A. Davey" itemprop="url" href="/author/Brian%20A.%20Davey"><span itemprop="name">B. Davey</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hilary A. Priestley" itemprop="url" href="/author/Hilary%20A.%20Priestley"><span itemprop="name">H. Priestley</span></a></span>. </span><em><span itemprop="publisher">Cambridge University Press</span>, </em><em>Cambridge, </em>(<em><span>1990<meta content="1990" itemprop="datePublished"/></span></em>)Fri Dec 23 01:05:17 CET 2011CambridgeIntroduction to lattices and order1990fca introduction lattice order Introduction to Lattices and Order: B. A. Davey, H. A. Priestley: 9780521367660: Englische BücherMining the World Wide Web -- Methods, Ap-
plications, and Perspectiveshttps://puma.uni-kassel.de/bibtex/2e9535ec82afa53f44a1b37704aa9a71f/itegiteg2011-11-22T10:26:32+01:002007 introduction ir itegpub ki mining ml myown 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/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>Künstliche Intelligenz</em></span></span> </span>(<em><span>2007<meta content="2007" itemprop="datePublished"/></span></em>)Tue Nov 22 10:26:32 CET 2011Künstliche Intelligenz35-8Mining the World Wide Web -- Methods, Ap-
plications, and Perspectives20072007 introduction ir itegpub ki mining ml myown web Themenheft Web Mining, Künstliche Intelligenzhttps://puma.uni-kassel.de/bibtex/2c73311bb72ad480d74125dbc9d94c450/itegiteg2011-11-22T10:26:32+01:002007 introduction ir itegpub ki mining ml myown web <span class="authorEditorList"><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>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="editor"><a title="Gerd Stumme" itemprop="url" href="/author/Gerd%20Stumme"><span itemprop="name">G. Stumme</span></a></span> (Hrsg.).
. </span><em> 3, </em>(<em><span>2007<meta content="2007" itemprop="datePublished"/></span></em>)Tue Nov 22 10:26:32 CET 2011Künstliche Intelligenz35-8Themenheft Web Mining, Künstliche Intelligenz20072007 introduction ir itegpub ki mining ml myown web Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0https://puma.uni-kassel.de/bibtex/2f8d7bc2af5753906dc3897196daac18c/itegiteg2011-11-22T10:26:32+01:002010 data introduction itegpub l3s mining myown network semantic social unik web <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bettina Berendt" itemprop="url" href="/author/Bettina%20Berendt"><span itemprop="name">B. Berendt</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/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>Web Semantics: Science, Services and Agents on the World Wide Web</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">8 </span></span>(<span itemprop="issueNumber">2-3</span>):
<span itemprop="pagination">95 - 96</span></em> </span>(<em><span>2010<meta content="2010" itemprop="datePublished"/></span></em>)<em>Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences.</em>Tue Nov 22 10:26:32 CET 2011Web Semantics: Science, Services and Agents on the World Wide WebBridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences2-395 - 96Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0820102010 data introduction itegpub l3s mining myown network semantic social unik web Social signal processing: Survey of an emerging domainhttps://puma.uni-kassel.de/bibtex/20a4122235c6b50c760ff27aafc990999/hothohotho2011-10-01T11:26:54+02:00everyaware introduction signal social survey <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alessandro Vinciarelli" itemprop="url" href="/author/Alessandro%20Vinciarelli"><span itemprop="name">A. Vinciarelli</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Maja Pantic" itemprop="url" href="/author/Maja%20Pantic"><span itemprop="name">M. Pantic</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hervé Bourlard" itemprop="url" href="/author/Herv%5c'%7be%7d%20Bourlard"><span itemprop="name">H. Bourlard</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>Image and Vision Computing</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">27 </span></span>(<span itemprop="issueNumber">12</span>):
<span itemprop="pagination">1743--1759</span></em> </span>(<em><span>03.11.2009<meta content="03.11.2009" itemprop="datePublished"/></span></em>)Sat Oct 01 11:26:54 CEST 2011Newton, MA, USAImage and Vision Computingnov121743--1759Social signal processing: Survey of an emerging domain272009everyaware introduction signal social survey 03The ability to understand and manage social signals of a person we are communicating with is the core of social intelligence. Social intelligence is a facet of human intelligence that has been argued to be indispensable and perhaps the most important for success in life. This paper argues that next-generation computing needs to include the essence of social intelligence – the ability to recognize human social signals and social behaviours like turn taking, politeness, and disagreement – in order to become more effective and more efficient. Although each one of us understands the importance of social signals in everyday life situations, and in spite of recent advances in machine analysis of relevant behavioural cues like blinks, smiles, crossed arms, laughter, and similar, design and development of automated systems for social signal processing ({SSP}) are rather difficult. This paper surveys the past efforts in solving these problems by a computer, it summarizes the relevant findings in social psychology, and it proposes a set of recommendations for enabling the development of the next generation of socially aware computing.CiteULike: Social signal processing: Survey of an emerging domainAn Introduction to Conditional Random Fieldshttps://puma.uni-kassel.de/bibtex/249d8c9beb76a8b88739aa9eece7446ee/hothohotho2011-09-14T08:28:16+02:00condi conditional crf fields introduction random <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Charles Sutton" itemprop="url" href="/author/Charles%20Sutton"><span itemprop="name">C. Sutton</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andrew McCallum" itemprop="url" href="/author/Andrew%20McCallum"><span itemprop="name">A. McCallum</span></a></span>. </span>(<em><span>2010<meta content="2010" itemprop="datePublished"/></span></em>)<em>cite arxiv:1011.4088Comment: 90 pages.</em>Wed Sep 14 08:28:16 CEST 2011cite arxiv:1011.4088Comment: 90 pagesAn Introduction to Conditional Random Fields2010condi conditional crf fields introduction random Often we wish to predict a large number of variables that depend on each other as well as on other observed variables. Structured prediction methods are essentially a combination of classification and graphical modeling, combining the ability of graphical models to compactly model multivariate data with the ability of classification methods to perform prediction using large sets of input features. This tutorial describes conditional random fields, a popular probabilistic method for structured prediction. CRFs have seen wide application in natural language processing, computer vision, and bioinformatics. We describe methods for inference and parameter estimation for CRFs, including practical issues for implementing large scale CRFs. We do not assume previous knowledge of graphical modeling, so this tutorial is intended to be useful to practitioners in a wide variety of fields. An Introduction to Conditional Random Fields2Bibliometrics - an introductionhttps://puma.uni-kassel.de/bibtex/2b34cd0d454229e69758efea1df97a68b/stefanistefani2011-05-11T11:26:01+02:00bibliometrics bibliometrie introduction overview überblick <meta content="thesis" itemprop="educationalUse"/><span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="UCD LIBRARYä" itemprop="url" href="/author/UCD%20LIBRARY%c3%a4"><span itemprop="name">U. LIBRARYä</span></a></span>. </span>(<em><span>2010<meta content="2010" itemprop="datePublished"/></span></em>)<em>Hinweisä.</em>Wed May 11 11:26:01 CEST 2011Hinweisä2Bibliometrics - an introduction2010bibliometrics bibliometrie introduction overview überblick Bibliometrics:
an overview
• Research impact can be measured in many ways: quantitative approaches
include publication counts, amount of research income, no of PhD students,
size of research group, no of PI projects, views and downloads of online
outputs, number of patents and licenses obtained, and others.
• Use of bibliometrics and citation analysis is only one of these quantitative
indicators.
• The ability to apply it and its importance in the overall assessment of research
varies from field to field
• Attempts at quantitative measures can be contrasted with the main alternative
assessment approach - qualitative peer-review in various forms
• The balance between use of bibliometrics and peer-review in assessing
academic performance at both the individual and unit levels is currently a “hot
topic” being played out locally, nationally and internationally
• This section provides an introductory overview of the field - others look in
more depth at: the key uses of bibliometrics for journal ranking and individual
assessment; the main metrics available; the main data sources and packaged
toolkits availableBeschreibung/KommentaräSentiment Analysis and Subjectivityhttps://puma.uni-kassel.de/bibtex/2098caba4af7a344db7a62c5d10748727/hothohotho2011-02-04T11:38:30+01:00***** analysis introduction opinion sentiment survey <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bing Liu" itemprop="url" href="/author/Bing%20Liu"><span itemprop="name">B. Liu</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>Handbook of Natural Language Processing</em></span></span> </span>(<em><span>2010<meta content="2010" itemprop="datePublished"/></span></em>)Fri Feb 04 11:38:30 CET 2011Handbook of Natural Language ProcessingSentiment Analysis and Subjectivity2nd ed2010***** analysis introduction opinion sentiment survey Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0https://puma.uni-kassel.de/bibtex/2f8d7bc2af5753906dc3897196daac18c/stummestumme2010-12-15T11:40:56+01:002010 data introduction itegpub l3s mining myown network semantic social unik web <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bettina Berendt" itemprop="url" href="/author/Bettina%20Berendt"><span itemprop="name">B. Berendt</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/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>Web Semantics: Science, Services and Agents on the World Wide Web</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">8 </span></span>(<span itemprop="issueNumber">2-3</span>):
<span itemprop="pagination">95 - 96</span></em> </span>(<em><span>2010<meta content="2010" itemprop="datePublished"/></span></em>)<em>Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences.</em>Wed Dec 15 11:40:56 CET 2010Web Semantics: Science, Services and Agents on the World Wide WebBridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences2-395 - 96Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0820102010 data introduction itegpub l3s mining myown network semantic social unik web Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0https://puma.uni-kassel.de/bibtex/2f8d7bc2af5753906dc3897196daac18c/hothohotho2010-07-08T12:57:16+02:002010 data introduction mining myown network semantic social web <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bettina Berendt" itemprop="url" href="/author/Bettina%20Berendt"><span itemprop="name">B. Berendt</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/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>Web Semantics: Science, Services and Agents on the World Wide Web</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">8 </span></span>(<span itemprop="issueNumber">2-3</span>):
<span itemprop="pagination">95 - 96</span></em> </span>(<em><span>2010<meta content="2010" itemprop="datePublished"/></span></em>)<em>Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences.</em>Thu Jul 08 12:57:16 CEST 2010Web Semantics: Science, Services and Agents on the World Wide WebBridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences2-395 - 96Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0820102010 data introduction mining myown network semantic social web The structure and function of complex networkshttps://puma.uni-kassel.de/bibtex/2f0de28071b8ee1c3675e67c7538e806a/folkefolke2010-05-04T08:55:46+02:00graph introduction network review survey theory <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="M. E. J. Newman" itemprop="url" href="/author/M.%20E.%20J.%20Newman"><span itemprop="name">M. Newman</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>SIAM Review</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">45 </span></span>(<span itemprop="issueNumber">2</span>):
<span itemprop="pagination">167-256</span></em> </span>(<em><span>2003<meta content="2003" itemprop="datePublished"/></span></em>)Tue May 04 08:55:46 CEST 2010SIAM Review2167-256The structure and function of complex networks452003graph introduction network review survey theory Spectral Graph Theory: Cheeger constants and discrepancyhttps://puma.uni-kassel.de/bibtex/208749179a19f8bc991ed31a5cd75d386/folkefolke2010-05-04T08:55:46+02:00graph introduction spectral theory <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Steve Butler" itemprop="url" href="/author/Steve%20Butler"><span itemprop="name">S. Butler</span></a></span>. </span>(<em><span>2006<meta content="2006" itemprop="datePublished"/></span></em>)Tue May 04 08:55:46 CEST 2010Spectral Graph Theory: Cheeger constants and discrepancy2006graph introduction spectral theory