PUMA publications for /user/hotho/analysishttps://puma.uni-kassel.de/user/hotho/analysisPUMA RSS feed for /user/hotho/analysis2024-03-28T19:45:33+01:00Adaptive Multiagent System for Network Traffic Monitoring.https://puma.uni-kassel.de/bibtex/2502b8b47f7e3ee930f2d79bde0b29d76/hothohotho2015-07-09T16:38:48+02:00analysis network traffic wisent <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Martin Rehák" itemprop="url" href="/author/Martin%20Reh%c3%a1k"><span itemprop="name">M. Rehák</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Michal Pechoucek" itemprop="url" href="/author/Michal%20Pechoucek"><span itemprop="name">M. Pechoucek</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Martin Grill" itemprop="url" href="/author/Martin%20Grill"><span itemprop="name">M. Grill</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jan Stiborek" itemprop="url" href="/author/Jan%20Stiborek"><span itemprop="name">J. Stiborek</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Karel Bartos" itemprop="url" href="/author/Karel%20Bartos"><span itemprop="name">K. Bartos</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Pavel Celeda" itemprop="url" href="/author/Pavel%20Celeda"><span itemprop="name">P. Celeda</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>IEEE Intelligent Systems</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">24 </span></span>(<span itemprop="issueNumber">3</span>):
<span itemprop="pagination">16-25</span></em> </span>(<em><span>2009<meta content="2009" itemprop="datePublished"/></span></em>)Thu Jul 09 16:38:48 CEST 2015IEEE Intelligent Systems316-25Adaptive Multiagent System for Network Traffic Monitoring.242009analysis network traffic wisent dblpText as data: The promise and pitfalls of automatic content analysis methods for political textshttps://puma.uni-kassel.de/bibtex/276001ebc726700bef81886d2e285b7cf/hothohotho2015-04-24T15:47:14+02:00Analysis media politics toread <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Justin Grimmer" itemprop="url" href="/author/Justin%20Grimmer"><span itemprop="name">J. Grimmer</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Brandon M Stewart" itemprop="url" href="/author/Brandon%20M%20Stewart"><span itemprop="name">B. Stewart</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>Political Analysis</em></span></span> </span>(<em><span>2013<meta content="2013" itemprop="datePublished"/></span></em>)Fri Apr 24 15:47:14 CEST 2015Political Analysismps028Text as data: The promise and pitfalls of automatic content analysis methods for political texts2013Analysis media politics toread Measuring Media Bias: A Content Analysis of Time and Newsweek Coverage of Domestic Social Issues, 1975–2000*https://puma.uni-kassel.de/bibtex/281474f00e1605d45462e23f743dc88bb/hothohotho2015-03-24T15:28:10+01:00analysis bias ht2015 measuring media newspaper toread <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tawnya J. Adkins Covert" itemprop="url" href="/author/Tawnya%20J.%20Adkins%20Covert"><span itemprop="name">T. Covert</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Philo C. Wasburn" itemprop="url" href="/author/Philo%20C.%20Wasburn"><span itemprop="name">P. Wasburn</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>Social Science Quarterly</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">88 </span></span>(<span itemprop="issueNumber">3</span>):
<span itemprop="pagination">690--706</span></em> </span>(<em><span>2007<meta content="2007" itemprop="datePublished"/></span></em>)Tue Mar 24 15:28:10 CET 2015Social Science Quarterly3690--706Measuring Media Bias: A Content Analysis of Time and Newsweek Coverage of Domestic Social Issues, 1975–2000*882007analysis bias ht2015 measuring media newspaper toread Objective. This study is an effort to produce a more systematic, empirically-based, historical-comparative understanding of media bias than generally is found in previous works.Methods. The research employs a quantitative measure of ideological bias in a formal content analysis of the United States' two largest circulation news magazines, Time and Newsweek. Findings are compared with the results of an identical examination of two of the nation's leading partisan journals, the conservative National Review and the liberal Progressive.Results. Bias scores reveal stark differences between the mainstream and the partisan news magazines' coverage of four issue areas: crime, the environment, gender, and poverty.Conclusion. Data provide little support for those claiming significant media bias in either ideological direction.Measuring Media Bias: A Content Analysis of Time and Newsweek Coverage of Domestic Social Issues, 1975–2000 - Covert - 2007 - Social Science Quarterly - Wiley Online LibraryDiscriminative Features via Generalized Eigenvectorshttps://puma.uni-kassel.de/bibtex/247512dd90370c769bfd328d8fd8179ef/hothohotho2015-03-03T18:19:43+01:00analysis eigenvector feature kallimachos <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Nikos Karampatziakis" itemprop="url" href="/author/Nikos%20Karampatziakis"><span itemprop="name">N. Karampatziakis</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Paul Mineiro" itemprop="url" href="/author/Paul%20Mineiro"><span itemprop="name">P. Mineiro</span></a></span>. </span>(<em><span>2013<meta content="2013" itemprop="datePublished"/></span></em>)<em>cite arxiv:1310.1934.</em>Tue Mar 03 18:19:43 CET 2015cite arxiv:1310.1934Discriminative Features via Generalized Eigenvectors2013analysis eigenvector feature kallimachos Representing examples in a way that is compatible with the underlying
classifier can greatly enhance the performance of a learning system. In this
paper we investigate scalable techniques for inducing discriminative features
by taking advantage of simple second order structure in the data. We focus on
multiclass classification and show that features extracted from the generalized
eigenvectors of the class conditional second moments lead to classifiers with
excellent empirical performance. Moreover, these features have attractive
theoretical properties, such as inducing representations that are invariant to
linear transformations of the input. We evaluate classifiers built from these
features on three different tasks, obtaining state of the art results.Discriminative Features via Generalized EigenvectorsText Structure Analysis as a Tool to Make Retrieved Documents Usablehttps://puma.uni-kassel.de/bibtex/294d62d9f3ef51731ea1edc03662616d9/hothohotho2014-11-21T15:47:23+01:00analysis sota structure text <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Noriko Kando" itemprop="url" href="/author/Noriko%20Kando"><span itemprop="name">N. Kando</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">IN PROCEEDINGS OF THE 4TH INTERNATIONAL WORKSHOP ON INFORMATION RETRIEVAL WITH ASIAN LANGUAGES</span>, </em></span><em>Seite <span itemprop="pagination">126--135</span>. </em>(<em><span>1999<meta content="1999" itemprop="datePublished"/></span></em>)Fri Nov 21 15:47:23 CET 2014IN PROCEEDINGS OF THE 4TH INTERNATIONAL WORKSHOP ON INFORMATION RETRIEVAL WITH ASIAN LANGUAGES126--135Text Structure Analysis as a Tool to Make Retrieved Documents Usable1999analysis sota structure text This paper describes an information retrieval system with the function to support user's use of the retrieved documents using the text-level structure of documents. The text-level structure of each document is described by the occurrence of typical functional components in the text. Automatic detection of the components has been attempted in previous works using surface-level language processing. The proposed system firstly utilizes the text structure to conduct high-precision searches of documents or passages by distinguishing the role or function each concept plays in the text. It also allows browsing or skimming of retrieved texts, creating summaries on-the-fly with various levels of condensation specified by the user. Moreover, the system can search and display any unit of a text such as a sentence, a paragraph or a chapter. Comparison of relevant passages in retrieved documents across multiple texts is helpful for users to examine, analyze, compare and integrate texts and...Text Structure Analysis as a Tool to Make Retrieved Documents UsableTrends in Computer Science Researchhttps://puma.uni-kassel.de/bibtex/24a2aee492bfcfcdbbcc7774bdcddd4a2/hothohotho2014-01-29T13:11:10+01:00**** analysis cs research science trends <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Apirak Hoonlor" itemprop="url" href="/author/Apirak%20Hoonlor"><span itemprop="name">A. Hoonlor</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Boleslaw K. Szymanski" itemprop="url" href="/author/Boleslaw%20K.%20Szymanski"><span itemprop="name">B. Szymanski</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammed J. Zaki" itemprop="url" href="/author/Mohammed%20J.%20Zaki"><span itemprop="name">M. Zaki</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>Commun. ACM</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">56 </span></span>(<span itemprop="issueNumber">10</span>):
<span itemprop="pagination">74--83</span></em> </span>(<em><span>Oktober 2013<meta content="Oktober 2013" itemprop="datePublished"/></span></em>)Wed Jan 29 13:11:10 CET 2014New York, NY, USACommun. ACMoct1074--83Trends in Computer Science Research562013**** analysis cs research science trends Keywords in the ACM Digital Library and IEEE Xplore digital library and in NSF grants anticipate future CS research.Trends in computer science researchUbiquitous Social Media Analysis Third International Workshops, MUSE 2012, Bristol, UK, September 24, 2012, and MSM 2012, Milwaukee, WI, USA, June 25, 2012, Revised Selected Papershttps://puma.uni-kassel.de/bibtex/21e2d036351662d35ef95719554d37e46/hothohotho2014-01-09T19:49:35+01:002013 analysis bibsonomy media myown postproceedings social workshop <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><span itemprop="publisher">Imprint: Springer</span>, </em><em>Berlin, Heidelberg, </em>(<em><span>2013<meta content="2013" itemprop="datePublished"/></span></em>)Thu Jan 09 19:49:35 CET 2014Berlin, HeidelbergUbiquitous Social Media Analysis Third International Workshops, MUSE 2012, Bristol, UK, September 24, 2012, and MSM 2012, Milwaukee, WI, USA, June 25, 2012, Revised Selected Papers20132013 analysis bibsonomy media myown postproceedings social workshop Awareness and Learning in Participatory Noise Sensinghttps://puma.uni-kassel.de/bibtex/2423a8aaa4eb317ee507143293205c76f/hothohotho2013-12-17T09:19:03+01:002013 analysis everyaware myown noise sensing widenoise <span class="authorEditorList"><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="Saverio Caminiti" itemprop="url" href="/author/Saverio%20Caminiti"><span itemprop="name">S. Caminiti</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Donato Fiorella" itemprop="url" href="/author/Donato%20Fiorella"><span itemprop="name">D. Fiorella</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Louise Francis" itemprop="url" href="/author/Louise%20Francis"><span itemprop="name">L. Francis</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Pietro Gravino" itemprop="url" href="/author/Pietro%20Gravino"><span itemprop="name">P. Gravino</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mordechai (Muki) Haklay" itemprop="url" href="/author/Mordechai%20(Muki)%20Haklay"><span itemprop="name">M. Haklay</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="Vittorio Loreto" itemprop="url" href="/author/Vittorio%20Loreto"><span itemprop="name">V. Loreto</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>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ferdinando Ricchiuti" itemprop="url" href="/author/Ferdinando%20Ricchiuti"><span itemprop="name">F. Ricchiuti</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Vito D. P. Servedio" itemprop="url" href="/author/Vito%20D.%20P.%20Servedio"><span itemprop="name">V. Servedio</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alina Sîrbu" itemprop="url" href="/author/Alina%20S%c3%aerbu"><span itemprop="name">A. Sîrbu</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Francesca Tria" itemprop="url" href="/author/Francesca%20Tria"><span itemprop="name">F. Tria</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>PLoS ONE</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">8 </span></span>(<span itemprop="issueNumber">12</span>):
<span itemprop="pagination">e81638</span></em> </span>(<em><span>Dezember 2013<meta content="Dezember 2013" itemprop="datePublished"/></span></em>)Tue Dec 17 09:19:03 CET 2013PLoS ONE1212e81638Awareness and Learning in Participatory Noise Sensing820132013 analysis everyaware myown noise sensing widenoise <p>The development of ICT infrastructures has facilitated the emergence of new paradigms for looking at society and the environment over the last few years. Participatory environmental sensing, i.e. directly involving citizens in environmental monitoring, is one example, which is hoped to encourage learning and enhance awareness of environmental issues. In this paper, an analysis of the behaviour of individuals involved in noise sensing is presented. Citizens have been involved in noise measuring activities through the WideNoise smartphone application. This application has been designed to record both objective (noise samples) and subjective (opinions, feelings) data. The application has been open to be used freely by anyone and has been widely employed worldwide. In addition, several test cases have been organised in European countries. Based on the information submitted by users, an analysis of emerging awareness and learning is performed. The data show that changes in the way the environment is perceived after repeated usage of the application do appear. Specifically, users learn how to recognise different noise levels they are exposed to. Additionally, the subjective data collected indicate an increased user involvement in time and a categorisation effect between pleasant and less pleasant environments.</p>PLOS ONE: Awareness and Learning in Participatory Noise SensingFull-Text Citation Analysis: A New Method to Enhance Scholarly Networkhttps://puma.uni-kassel.de/bibtex/2f9c6133bf4503003822f99860f864698/hothohotho2013-04-24T15:01:15+02:00analysis citation classification graph pagerank ranking scientometrics sota <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Xiaozhong Liu" itemprop="url" href="/author/Xiaozhong%20Liu"><span itemprop="name">X. Liu</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jinsong Zhang" itemprop="url" href="/author/Jinsong%20Zhang"><span itemprop="name">J. Zhang</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Chun Guo" itemprop="url" href="/author/Chun%20Guo"><span itemprop="name">C. Guo</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>Journal of the American Society for Information Science and Technology</em></span></span> </span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)Wed Apr 24 15:01:15 CEST 2013Journal of the American Society for Information Science and TechnologyFull-Text Citation Analysis: A New Method to Enhance Scholarly Network2012analysis citation classification graph pagerank ranking scientometrics sota Making Sense of Twitter.https://puma.uni-kassel.de/bibtex/258dace4881efbd12c81ef1cc2e6bf7b9/hothohotho2012-11-16T10:21:22+01:00analysis folksonomy tagging toread twitter <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="David Laniado" itemprop="url" href="/author/David%20Laniado"><span itemprop="name">D. Laniado</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Peter Mika" itemprop="url" href="/author/Peter%20Mika"><span itemprop="name">P. Mika</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">International Semantic Web Conference (1)</span>, </em></span><em>Volume 6496 von Lecture Notes in Computer Science, </em><em>Seite <span itemprop="pagination">470-485</span>. </em><em><span itemprop="publisher">Springer</span>, </em>(<em><span>2010<meta content="2010" itemprop="datePublished"/></span></em>)Fri Nov 16 10:21:22 CET 2012International Semantic Web Conference (1)conf/semweb/2010-1470-485Lecture Notes in Computer ScienceMaking Sense of Twitter.64962010analysis folksonomy tagging toread twitter Development of computer science disciplines: a social network analysis approachhttps://puma.uni-kassel.de/bibtex/28ae08cacda75da80bfa5604cfce48449/hothohotho2012-06-29T08:59:09+02:00analysis computer network paper scholary science scientometrics sna social <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Manh Pham" itemprop="url" href="/author/Manh%20Pham"><span itemprop="name">M. Pham</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ralf Klamma" itemprop="url" href="/author/Ralf%20Klamma"><span itemprop="name">R. Klamma</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Matthias Jarke" itemprop="url" href="/author/Matthias%20Jarke"><span itemprop="name">M. Jarke</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>Social Network Analysis and Mining</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">1 </span></span>(<span itemprop="issueNumber">4</span>):
<span itemprop="pagination">321--340</span></em> </span>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)Fri Jun 29 08:59:09 CEST 2012WienSocial Network Analysis and Mining4321--340Development of computer science disciplines: a social network analysis approach12011analysis computer network paper scholary science scientometrics sna social In contrast to many other scientific disciplines, computer science considers conference publications. Conferences have the advantage of providing fast publication of papers and of bringing researchers together to present and discuss the paper with peers. Previous work on knowledge mapping focused on the map of all sciences or a particular domain based on ISI published Journal Citation Report (JCR). Although this data cover most of the important journals, it lacks computer science conference and workshop proceedings, which results in an imprecise and incomplete analysis of the computer science knowledge. This paper presents an analysis on the computer science knowledge network constructed from all types of publications, aiming at providing a complete view of computer science research. Based on the combination of two important digital libraries (DBLP and CiteSeerX), we study the knowledge network created at journal/conference level using citation linkage, to identify the development of sub-disciplines. We investigate the collaborative and citation behavior of journals/conferences by analyzing the properties of their co-authorship and citation subgraphs. The paper draws several important conclusions. First, conferences constitute social structures that shape the computer science knowledge. Second, computer science is becoming more interdisciplinary. Third, experts are the key success factor for sustainability of journals/conferences.PBN: towards practical activity recognition using smartphone-based body sensor networkshttps://puma.uni-kassel.de/bibtex/261e5e4559d031c4152b3f316c0aa5209/hothohotho2012-04-04T10:17:02+02:00activity analysis recognition sensor smartphone toread <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Matthew Keally" itemprop="url" href="/author/Matthew%20Keally"><span itemprop="name">M. Keally</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gang Zhou" itemprop="url" href="/author/Gang%20Zhou"><span itemprop="name">G. Zhou</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Guoliang Xing" itemprop="url" href="/author/Guoliang%20Xing"><span itemprop="name">G. Xing</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jianxin Wu" itemprop="url" href="/author/Jianxin%20Wu"><span itemprop="name">J. Wu</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andrew Pyles" itemprop="url" href="/author/Andrew%20Pyles"><span itemprop="name">A. Pyles</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems</span>, </em></span><em>Seite <span itemprop="pagination">246--259</span>. </em><em>New York, NY, USA, </em><em><span itemprop="publisher">ACM</span>, </em>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)Wed Apr 04 10:17:02 CEST 2012New York, NY, USAProceedings of the 9th ACM Conference on Embedded Networked Sensor Systems246--259SenSys '11PBN: towards practical activity recognition using smartphone-based body sensor networks2011activity analysis recognition sensor smartphone toread The vast array of small wireless sensors is a boon to body sensor network applications, especially in the context awareness and activity recognition arena. However, most activity recognition deployments and applications are challenged to provide personal control and practical functionality for everyday use. We argue that activity recognition for mobile devices must meet several goals in order to provide a practical solution: user friendly hardware and software, accurate and efficient classification, and reduced reliance on ground truth. To meet these challenges, we present PBN: Practical Body Networking. Through the unification of TinyOS motes and Android smartphones, we combine the sensing power of on-body wireless sensors with the additional sensing power, computational resources, and user-friendly interface of an Android smartphone. We provide an accurate and efficient classification approach through the use of ensemble learning. We explore the properties of different sensors and sensor data to further improve classification efficiency and reduce reliance on user annotated ground truth. We evaluate our PBN system with multiple subjects over a two week period and demonstrate that the system is easy to use, accurate, and appropriate for mobile devices.PBNBeyond Sentiment: The Manifold of Human Emotionshttps://puma.uni-kassel.de/bibtex/2d169c08d5241a0912f3d60c97d87e2c0/hothohotho2012-02-12T10:50:22+01:00analysis emotions sentiment toread <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Seungyeon Kim" itemprop="url" href="/author/Seungyeon%20Kim"><span itemprop="name">S. Kim</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Fuxin Li" itemprop="url" href="/author/Fuxin%20Li"><span itemprop="name">F. Li</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Guy Lebanon" itemprop="url" href="/author/Guy%20Lebanon"><span itemprop="name">G. Lebanon</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Irfan Essa" itemprop="url" href="/author/Irfan%20Essa"><span itemprop="name">I. Essa</span></a></span>. </span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)<em>cite arxiv:1202.1568Comment: 15 pages, 7 figures.</em>Sun Feb 12 10:50:22 CET 2012cite arxiv:1202.1568Comment: 15 pages, 7 figuresBeyond Sentiment: The Manifold of Human Emotions2012analysis emotions sentiment toread Sentiment analysis predicts the presence of positive or negative emotions in a text document. In this paper we consider higher dimensional extensions of the sentiment concept, which represent a richer set of human emotions. Our approach goes beyond previous work in that our model contains a continuous manifold rather than a finite set of human emotions. We investigate the resulting model, compare it to psychological observations, and explore its predictive capabilities. Besides obtaining significant improvements over a baseline without manifold, we are also able to visualize different notions of positive sentiment in different domains. Beyond Sentiment: The Manifold of Human EmotionsAnalysis of Social Media and Ubiquitous Data - International Workshops MSM 2010, Toronto, Canada, June 13, 2010, and MUSE 2010, Barcelona, Spain, September 20, 2010, Revised Selected Papershttps://puma.uni-kassel.de/bibtex/24cf42ebabd9a670c70bee456affda285/hothohotho2012-01-27T14:02:47+01:002011 analysis data media 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="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="Markus Strohmaier" itemprop="url" href="/author/Markus%20Strohmaier"><span itemprop="name">M. Strohmaier</span></a></span>, und <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> (Hrsg.).
. </span><em>Volume 6904 von Lecture Notes in Computer Science, </em><em><span itemprop="publisher">Springer</span>, </em>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)Fri Jan 27 14:02:47 CET 2012MSM/MUSELecture Notes in Computer ScienceAnalysis of Social Media and Ubiquitous Data - International Workshops MSM 2010, Toronto, Canada, June 13, 2010, and MUSE 2010, Barcelona, Spain, September 20, 2010, Revised Selected Papers690420112011 analysis data media myown social ubiquitous Face-to-Face Contacts during a Conference: Communities, Roles, and Key Playershttps://puma.uni-kassel.de/bibtex/21fe037ea2712b205c564243d67840059/hothohotho2011-11-30T14:54:07+01:002011 analysis communities community discovery knowledge myown rfid <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="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="Folke Mitzlaff" itemprop="url" href="/author/Folke%20Mitzlaff"><span itemprop="name">F. Mitzlaff</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">Proc. Workshop on Mining Ubiquitous and Social Environments (MUSE 2011) at ECML/PKDD 2011</span>, </em></span>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)Wed Nov 30 14:54:07 CET 2011Proc. Workshop on Mining Ubiquitous and Social Environments (MUSE 2011) at ECML/PKDD 2011Face-to-Face Contacts during a Conference: Communities, Roles, and Key Players20112011 analysis communities community discovery knowledge myown rfid Face-to-Face Contacts during LWA 2010 - Communities, Roles, and Key Playershttps://puma.uni-kassel.de/bibtex/284840e0e94320b5742df381f2ec033b7/hothohotho2011-11-30T14:48:23+01:002011 analysis contacts facetoface myown <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="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="Folke Mitzlaff" itemprop="url" href="/author/Folke%20Mitzlaff"><span itemprop="name">F. Mitzlaff</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">Working Notes of the LWA 2011 - Learning, Knowledge, Adaptation</span>, </em></span>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)Wed Nov 30 14:48:23 CET 2011Working Notes of the LWA 2011 - Learning, Knowledge, AdaptationFace-to-Face Contacts during LWA 2010 - Communities, Roles, and Key Players20112011 analysis contacts facetoface myown Who should I cite: learning literature search models from citation behaviorhttps://puma.uni-kassel.de/bibtex/2369206c7472baeaa5ecefef586e16c6a/hothohotho2011-09-15T12:48:14+02:00analysis behaviour citation toread <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Steven Bethard" itemprop="url" href="/author/Steven%20Bethard"><span itemprop="name">S. Bethard</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dan Jurafsky" itemprop="url" href="/author/Dan%20Jurafsky"><span itemprop="name">D. Jurafsky</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the 19th ACM international conference on Information and knowledge management</span>, </em></span><em>Seite <span itemprop="pagination">609--618</span>. </em><em>New York, NY, USA, </em><em><span itemprop="publisher">ACM</span>, </em>(<em><span>2010<meta content="2010" itemprop="datePublished"/></span></em>)Thu Sep 15 12:48:14 CEST 2011New York, NY, USAProceedings of the 19th ACM international conference on Information and knowledge management609--618CIKM '10Who should I cite: learning literature search models from citation behavior2010analysis behaviour citation toread Who should I citePeer and Authority Pressure in Information-Propagation Modelshttps://puma.uni-kassel.de/bibtex/2eb4553d07c2975a62fff33e92646a7df/hothohotho2011-09-07T10:03:04+02:00analysis authority bibsonomy network peer toread <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Aris Anagnostopoulos" itemprop="url" href="/author/Aris%20Anagnostopoulos"><span itemprop="name">A. Anagnostopoulos</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="George Brova" itemprop="url" href="/author/George%20Brova"><span itemprop="name">G. Brova</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Evimaria Terzi" itemprop="url" href="/author/Evimaria%20Terzi"><span itemprop="name">E. Terzi</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the ECML/PKDD 2011</span>, </em></span>(<em><span>2011<meta content="2011" itemprop="datePublished"/></span></em>)Wed Sep 07 10:03:04 CEST 2011Proceedings of the ECML/PKDD 2011Peer and Authority Pressure in Information-Propagation Models2011analysis authority bibsonomy network peer toread Sentiment 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 The Effectiveness of Latent Semantic Analysis for Building Up a Bottom-up Taxonomy from Folksonomy Tags.https://puma.uni-kassel.de/bibtex/2ec3c256e7d1f24cd9d407d3ce7e41d96/hothohotho2010-08-12T19:29:06+02:00analysis folksonomy ol semantic taxonomy toread <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Takeharu Eda" itemprop="url" href="/author/Takeharu%20Eda"><span itemprop="name">T. Eda</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Masatoshi Yoshikawa" itemprop="url" href="/author/Masatoshi%20Yoshikawa"><span itemprop="name">M. Yoshikawa</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Toshio Uchiyama" itemprop="url" href="/author/Toshio%20Uchiyama"><span itemprop="name">T. Uchiyama</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tadasu Uchiyama" itemprop="url" href="/author/Tadasu%20Uchiyama"><span itemprop="name">T. Uchiyama</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>World Wide Web</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">12 </span></span>(<span itemprop="issueNumber">4</span>):
<span itemprop="pagination">421-440</span></em> </span>(<em><span>2009<meta content="2009" itemprop="datePublished"/></span></em>)Thu Aug 12 19:29:06 CEST 2010World Wide Web4421-440The Effectiveness of Latent Semantic Analysis for Building Up a Bottom-up Taxonomy from Folksonomy Tags.122009analysis folksonomy ol semantic taxonomy toread dblp