@misc{atzmueller2013conferator, author = {Atzmueller, Martin and Kibanov, Mark and Scholz, Christoph and Stumme, Gerd}, title = {Conferator - a Social System for Conference and Contact Management}, publisher = {INFORMATIK 2013}, year = {2013}, keywords = {2013, conferator, data, iteg, itegpub, l3s, mining, myown, social, ubiquitous, venus} }

%0 = misc %A = Atzmueller, Martin and Kibanov, Mark and Scholz, Christoph and Stumme, Gerd %B = } %C = %D = 2013 %I = INFORMATIK 2013 %T = Conferator - a Social System for Conference and Contact Management} %U =

@inproceedings{kibanov2013evolution, author = {Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd}, title = {Evolution of Contacts and Communities in Networks of Face-to-Face Proximity (Extended Abstract, Resubmission)}, booktitle = {Proc. LWA 2013 (KDML Special Track)}, publisher = {University of Bamberg}, address = {Bamberg, Germany}, year = {2013}, keywords = {2013, conferator, data, iteg, itegpub, l3s, mining, myown, social, ubiquitous, venus} }

%0 = inproceedings %A = Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd %B = Proc. LWA 2013 (KDML Special Track) %C = Bamberg, Germany %D = 2013 %I = University of Bamberg %T = Evolution of Contacts and Communities in Networks of Face-to-Face Proximity (Extended Abstract, Resubmission)

@inproceedings{kibanov2013evolution, author = {Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd}, title = {On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity}, booktitle = {Proc. IEEE CPSCom 2013}, publisher = {IEEE Computer Society}, address = {Boston, MA, USA}, year = {2013}, keywords = {2013, community, conferator, face-to-face, iteg, itegpub, l3s, mining, myown, sna, social, venus} }

%0 = inproceedings %A = Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd %B = Proc. IEEE CPSCom 2013 %C = Boston, MA, USA %D = 2013 %I = IEEE Computer Society %T = On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity

@article{mitzlaff2013userrelatedness, author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, title = {User-Relatedness and Community Structure in Social Interaction Networks}, journal = {CoRR/abs}, year = {2013}, volume = {1309.3888}, keywords = {2013, data, iteg, itegpub, l3s, mining, myown, social, ubiquitous, venus, web} }

%0 = article %A = Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd %D = 2013 %T = User-Relatedness and Community Structure in Social Interaction Networks

@inproceedings{scholz2013people, author = {Scholz, Christoph and Atzmueller, Martin and Kibanov, Mark and Stumme, Gerd}, title = {How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks}, booktitle = {Proc. ASONAM 2013}, publisher = {ACM Press}, address = {New York, NY, USA}, year = {2013}, keywords = {2013, analysis, face-to-face, iteg, itegpub, l3s, linkprediction, mining, myown, networks, sna} }

%0 = inproceedings %A = Scholz, Christoph and Atzmueller, Martin and Kibanov, Mark and Stumme, Gerd %B = Proc. ASONAM 2013 %C = New York, NY, USA %D = 2013 %I = ACM Press %T = How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks

@incollection{ADHMS:12, author = {Atzmueller, Martin and Doerfel, Stephan and Hotho, Andreas and Mitzlaff, Folke and Stumme, Gerd}, title = {Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles}, booktitle = {Modeling and Mining Ubiquitous Social Media}, series = {LNAI}, publisher = {Springer Verlag}, address = {Heidelberg, Germany}, year = {2012}, volume = {7472}, url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/atzmueller-face-to-face-contacts-dynamics-lnai-2012.pdf}, keywords = {2012, collective, community, conference, contacts, data, dynamics, face, intelligence, itegpub, kde, l3s, media, mining, myown, myown,2012, social, ubiquitous, venus, venuspub,2012} }

%0 = incollection %A = Atzmueller, Martin and Doerfel, Stephan and Hotho, Andreas and Mitzlaff, Folke and Stumme, Gerd %B = Modeling and Mining Ubiquitous Social Media %C = Heidelberg, Germany %D = 2012 %I = Springer Verlag %T = Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles %U = http://www.kde.cs.uni-kassel.de/atzmueller/paper/atzmueller-face-to-face-contacts-dynamics-lnai-2012.pdf

To facilitate user-centered software engineering, developers need an easy to grasp understanding of the user. The use of personas helps to keep specific user needs in mind during the design process. Technology acceptance is of particular interest for the design of innovative applications previously unknown to potential users. Therefore, our research focuses on defining a typology of relevant user characteristics with respect to technology acceptance and transferring those findings to the description of personas. The presented work focuses on the statistical relationship between technology acceptance and personality. We apply sub-group discovery as a statistical tool. Based on the statistically derived subgroups and patterns we define the mentioned personas to help developers to understand different forms of technology acceptance. By integrating the specifically defined personas into existing methods in the field of software engineering the feasibility of the presented approach is demonstrated.

@incollection{BAESSG:12, author = {Behrenbruch, Kay and Atzmueller, Martin and Evers, Christoph and Schmidt, Ludger and Stumme, Gerd and Geihs, Kurt}, title = {A Personality Based Design Approach Using Subgroup Discovery}, booktitle = {Human-Centred Software Engineering}, series = {LNCS}, publisher = {Springer}, address = {Heidelberg, Germany}, year = {2012}, volume = {7623}, pages = {259--266 }, keywords = {2012, data, design, discovery, itegpub, l3s, mining, myown, subgroup, venus}, abstract = {To facilitate user-centered software engineering, developers need an easy to grasp understanding of the user. The use of personas helps to keep specific user needs in mind during the design process. Technology acceptance is of particular interest for the design of innovative applications previously unknown to potential users. Therefore, our research focuses on defining a typology of relevant user characteristics with respect to technology acceptance and transferring those findings to the description of personas. The presented work focuses on the statistical relationship between technology acceptance and personality. We apply sub-group discovery as a statistical tool. Based on the statistically derived subgroups and patterns we define the mentioned personas to help developers to understand different forms of technology acceptance. By integrating the specifically defined personas into existing methods in the field of software engineering the feasibility of the presented approach is demonstrated.} }

%0 = incollection %A = Behrenbruch, Kay and Atzmueller, Martin and Evers, Christoph and Schmidt, Ludger and Stumme, Gerd and Geihs, Kurt %B = Human-Centred Software Engineering %C = Heidelberg, Germany %D = 2012 %I = Springer %T = A Personality Based Design Approach Using Subgroup Discovery

@inproceedings{SAS:12, author = {Scholz, Christoph and Atzmueller, Martin and Stumme, Gerd}, title = {On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties}, booktitle = {Proc. Fourth ASE/IEEE International Conference on Social Computing (SocialCom)}, publisher = {IEEE Computer Society}, address = {Boston, MA, USA}, year = {2012}, url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/scholz-on-f2f-predictability-socialcom-2012.pdf}, keywords = {2012, contact, data, human, itegpub, l3s, mining, myown, patterns, prediction, rfid, social, socialnetworks, venus} }

%0 = inproceedings %A = Scholz, Christoph and Atzmueller, Martin and Stumme, Gerd %B = Proc. Fourth ASE/IEEE International Conference on Social Computing (SocialCom) %C = Boston, MA, USA %D = 2012 %I = IEEE Computer Society %T = On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties %U = http://www.kde.cs.uni-kassel.de/atzmueller/paper/scholz-on-f2f-predictability-socialcom-2012.pdf

@inproceedings{mitzlaff2011community, author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, title = {Community Assessment using Evidence Networks}, booktitle = {Analysis of Social Media and Ubiquitous Data}, series = {LNAI}, year = {2011}, volume = {6904}, keywords = {2011, community, itegpub, knowledge, mining, myown} }

%0 = inproceedings %A = Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd %B = Analysis of Social Media and Ubiquitous Data %D = 2011 %T = Community Assessment using Evidence Networks

@inproceedings{mitzlaff2011semantics, author = {Mitzlaff, Folke and Atzmueller, Martin and Stumme, Gerd and Hotho, Andreas}, title = {On the Semantics of User Interaction in Social Media (Extended Abstract, Resubmission)}, booktitle = {Proc. LWA 2013 (KDML Special Track)}, publisher = {University of Bamberg}, address = {Bamberg, Germany}, year = {2011}, keywords = {2013, data, iteg, itegpub, l3s, mining, myown, social, ubiquitous, venus, web} }

%0 = inproceedings %A = Mitzlaff, Folke and Atzmueller, Martin and Stumme, Gerd and Hotho, Andreas %B = Proc. LWA 2013 (KDML Special Track) %C = Bamberg, Germany %D = 2011 %I = University of Bamberg %T = On the Semantics of User Interaction in Social Media (Extended Abstract, Resubmission)

@book{ABHS:10,, title = {Proceedings of the LWA 2010 - Lernen, Wissen, Adaptivität}, editor = {Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd}, series = {Technical report (KIS), 2010-10}, publisher = {Department of Electrical Engineering/Computer Science, Kassel University}, year = {2010}, keywords = {2010, data, discovery, itegpub, knowledge, l3s, lwa, mining, myown} }

%0 = book %D = 2010 %I = Department of Electrical Engineering/Computer Science, Kassel University %T = Proceedings of the LWA 2010 - Lernen, Wissen, Adaptivität

@article{berendt2010bridging, author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd}, title = {Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0}, journal = {Web Semantics: Science, Services and Agents on the World Wide Web}, year = {2010}, volume = {8}, number = {2-3}, pages = {95 - 96}, note = {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}, url = {http://www.sciencedirect.com/science/article/B758F-4YXK4HW-1/2/4cb514565477c54160b5e6eb716c32d7}, doi = {DOI: 10.1016/j.websem.2010.04.008}, issn = {1570-8268}, keywords = {2010, data, introduction, itegpub, l3s, mining, myown, network, semantic, social, unik, web} }

%0 = article %A = Berendt, Bettina and Hotho, Andreas and Stumme, Gerd %D = 2010 %T = Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0 %U = http://www.sciencedirect.com/science/article/B758F-4YXK4HW-1/2/4cb514565477c54160b5e6eb716c32d7

SemanticWeb Mining aims at combining the two fast-developing research areas SemanticWeb andWeb Mining.
is survey analyzes the convergence of trends from both areas: an increasing number of researchers is working on
proving the results ofWeb Mining by exploiting semantic structures in theWeb, and they make use ofWeb Mining
chniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic
b itself.
e Semantic Web is the second-generation WWW, enriched by machine-processable information which supports
e user in his tasks. Given the enormous size even of today’s Web, it is impossible to manually enrich all of
ese resources. Therefore, automated schemes for learning the relevant information are increasingly being used.
b Mining aims at discovering insights about the meaning of Web resources and their usage. Given the primarily
ntactical nature of the data being mined, the discovery of meaning is impossible based on these data only. Therefore,
rmalizations of the semantics of Web sites and navigation behavior are becoming more and more common.
rthermore, mining the Semantic Web itself is another upcoming application. We argue that the two areas Web
ning and Semantic Web need each other to fulfill their goals, but that the full potential of this convergence is not
t realized. This paper gives an overview of where the two areas meet today, and sketches ways of how a closer
tegration could be profitable.

@article{jws2006Semantic, author = {Stumme, Gerd and Hotho, Andreas and Berendt, Bettina}, title = {Semantic Web Mining - State of the Art and Future Directions}, journal = {Journal of Web Semantics}, publisher = {Elsevier}, year = {2006}, volume = {4}, number = {2}, pages = {124-143}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/stumme2006semantic.pdf}, keywords = {2006, l3s, mining, myown, semantic, sota, survey, web}, abstract = {SemanticWeb Mining aims at combining the two fast-developing research areas SemanticWeb andWeb Mining.This survey analyzes the convergence of trends from both areas: an increasing number of researchers is working onimproving the results ofWeb Mining by exploiting semantic structures in theWeb, and they make use ofWeb Miningtechniques for building the Semantic Web. Last but not least, these techniques can be used for mining the SemanticWeb itself.The Semantic Web is the second-generation WWW, enriched by machine-processable information which supportsthe user in his tasks. Given the enormous size even of today’s Web, it is impossible to manually enrich all ofthese resources. Therefore, automated schemes for learning the relevant information are increasingly being used.Web Mining aims at discovering insights about the meaning of Web resources and their usage. Given the primarilysyntactical nature of the data being mined, the discovery of meaning is impossible based on these data only. Therefore,formalizations of the semantics of Web sites and navigation behavior are becoming more and more common.Furthermore, mining the Semantic Web itself is another upcoming application. We argue that the two areas WebMining and Semantic Web need each other to fulfill their goals, but that the full potential of this convergence is notyet realized. This paper gives an overview of where the two areas meet today, and sketches ways of how a closerintegration could be profitable.} }

%0 = article %A = Stumme, Gerd and Hotho, Andreas and Berendt, Bettina %D = 2006 %I = Elsevier %T = Semantic Web Mining - State of the Art and Future Directions %U = http://www.kde.cs.uni-kassel.de/stumme/papers/2006/stumme2006semantic.pdf

The purpose of Web mining is to develop methods and systems for discovering models of objects and processes on the World Wide Web and for web-based systems that show adaptive performance. Web Mining integrates three parent areas: Data Mining (we use this term here also for the closely related areas of Machine Learning and Knowledge Discovery), Internet technology and World Wide Web, and for the more recent Semantic Web. The World Wide Web has made an enormous amount of information electronically accessible. The use of email, news and markup languages like HTML allow users to publish and read documents at a world-wide scale and to communicate via chat connections, including information in the form of images and voice records. The HTTP protocol that enables access to documents over the network via Web browsers created an immense improvement in communication and access to information. For some years these possibilities were used mostly in the scientific world but recent years have seen an immense growth in popularity, supported by the wide availability of computers and broadband communication. The use of the internet for other tasks than finding information and direct communication is increasing, as can be seen from the interest in ldquoe-activitiesrdquo such as e-commerce, e-learning, e-government, e-science.

@inproceedings{berendt2004roadmap, author = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and van Someren, Maarten and Spiliopoulou, Myra and Stumme, Gerd}, title = {A Roadmap for Web Mining: From Web to Semantic Web.}, editor = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and van Someren, Maarten and Spiliopoulou, Myra and Stumme, Gerd}, booktitle = {Web Mining: From Web to Semantic Web}, publisher = {Springer}, address = {Heidelberg}, year = {2004}, volume = {3209}, pages = {1-22}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt2004roadmap.pdf}, keywords = {2004, ecml, ewmf, itegpub, l3s, mining, myown, pkdd, proceedings, roadmap, semantic, web, workshop}, abstract = {The purpose of Web mining is to develop methods and systems for discovering models of objects and processes on the World Wide Web and for web-based systems that show adaptive performance. Web Mining integrates three parent areas: Data Mining (we use this term here also for the closely related areas of Machine Learning and Knowledge Discovery), Internet technology and World Wide Web, and for the more recent Semantic Web. The World Wide Web has made an enormous amount of information electronically accessible. The use of email, news and markup languages like HTML allow users to publish and read documents at a world-wide scale and to communicate via chat connections, including information in the form of images and voice records. The HTTP protocol that enables access to documents over the network via Web browsers created an immense improvement in communication and access to information. For some years these possibilities were used mostly in the scientific world but recent years have seen an immense growth in popularity, supported by the wide availability of computers and broadband communication. The use of the internet for other tasks than finding information and direct communication is increasing, as can be seen from the interest in ldquoe-activitiesrdquo such as e-commerce, e-learning, e-government, e-science.} }

%0 = inproceedings %A = Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and van Someren, Maarten and Spiliopoulou, Myra and Stumme, Gerd %B = Web Mining: From Web to Semantic Web %C = Heidelberg %D = 2004 %I = Springer %T = A Roadmap for Web Mining: From Web to Semantic Web. %U = http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt2004roadmap.pdf

Semantic Web Mining aims at combining the two fast-developing
search areas Semantic Web and Web Mining.
b Mining aims at discovering insights about the meaning of Web
sources and their usage. Given the primarily syntactical nature
data Web mining operates on, the discovery of meaning is
possible based on these data only. Therefore, formalizations of
e semantics of Web resources and navigation behavior are
creasingly being used. This fits exactly with the aims of the
mantic Web: the Semantic Web enriches the WWW by
chine-processable information which supports the user in his
sks. In this paper, we discuss the interplay of the Semantic Web
th Web Mining, with a specific focus on usage mining.

@incollection{berendt04usage, author = {Berendt, Bettina and Hotho, Andreas and Stumme, Gerd}, title = {Usage Mining for and on the Semantic Web}, editor = {Kargupta, Hillol and Joshi, Anupam and Sivakumar, Krishnamoorthy and Yesha, Yelena}, booktitle = {Data Mining Next Generation Challenges and Future Directions}, publisher = {AAAI Press}, address = {Boston}, year = {2004}, pages = {461-481}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf}, isbn = {0-262-61203-8}, keywords = {2004, itegpub, l3s, mining, myown, semantic, usage, web}, abstract = {Semantic Web Mining aims at combining the two fast-developing
search areas Semantic Web and Web Mining.
b Mining aims at discovering insights about the meaning of Web
sources and their usage. Given the primarily syntactical nature
data Web mining operates on, the discovery of meaning is
possible based on these data only. Therefore, formalizations of
e semantics of Web resources and navigation behavior are
creasingly being used. This fits exactly with the aims of the
mantic Web: the Semantic Web enriches the WWW by
chine-processable information which supports the user in his
sks. In this paper, we discuss the interplay of the Semantic Web
th Web Mining, with a specific focus on usage mining.} }

%0 = incollection %A = Berendt, Bettina and Hotho, Andreas and Stumme, Gerd %B = Data Mining Next Generation Challenges and Future Directions %C = Boston %D = 2004 %I = AAAI Press %T = Usage Mining for and on the Semantic Web %U = http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf

@proceedings{berendt2004web,, title = {Web Mining: From Web to Semantic Web, First European Web
Mining Forum, EMWF 2003, Cavtat-Dubrovnik, Croatia, September
22, 2003, Revised Selected and Invited Papers}, editor = {Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and van Someren, Maarten and Spiliopoulou, Myra and Stumme, Gerd}, series = {LNAI}, publisher = {Springer}, address = {Heidelberg}, year = {2004}, volume = {3209}, note = {http://km.aifb.uni-karlsruhe.de/ws/ewmf03/}, url = {http://springerlink.metapress.com/content/unvvag26dttf/}, isbn = {3-540-23258-3}, keywords = {2004, ecml, itegpub, l3s, mining, myown, pkdd, proceedings, semantic, web, workshop} }

%0 = proceedings %B = } %C = Heidelberg %D = 2004 %I = Springer %T = Web Mining: From Web to Semantic Web, First European Web
Mining Forum, EMWF 2003, Cavtat-Dubrovnik, Croatia, September
22, 2003, Revised Selected and Invited Papers} %U = http://springerlink.metapress.com/content/unvvag26dttf/

@proceedings{berendt03european,, title = {Proceedings of the 1st European Web Mining Forum (EWMF 2003)}, editor = {Berendt, B. and Hotho, A. and Mladenić, D. and van Someren, M. and Spiliopoulou, M. and Stumme, G.}, address = {Cavtat/Dubrovnik, Croatia}, year = {2003}, url = {http://km.aifb.uni-karlsruhe.de/ws/ewmf03/}, keywords = {2003, Mining, ewmf, knowledge, mining, myown, web} }

%0 = proceedings %B = } %C = Cavtat/Dubrovnik, Croatia %D = 2003 %I = %T = Proceedings of the 1st European Web Mining Forum (EWMF 2003)} %U = http://km.aifb.uni-karlsruhe.de/ws/ewmf03/

@inproceedings{hotho03ontologies, author = {Hotho, Andreas and Staab, Steffen and Stumme, Gerd}, title = {Ontologies improve text document clustering}, booktitle = {Proceedings of the 2003 IEEE International Conference on Data Mining}, publisher = {IEEE Computer Society}, address = {Melbourne, Florida}, year = {2003}, pages = {541-544 (Poster}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003ontologies.pdf}, keywords = {2003, clustering, data, kdd, mining, myown, ontologies, text} }

%0 = inproceedings %A = Hotho, Andreas and Staab, Steffen and Stumme, Gerd %B = Proceedings of the 2003 IEEE International Conference on Data Mining %C = Melbourne, Florida %D = 2003 %I = IEEE Computer Society %T = Ontologies improve text document clustering %U = http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003ontologies.pdf

@inproceedings{stumme02usage, author = {Stumme, G. and Berendt, B. and Hotho, A.}, title = {Usage Mining for and on the Semantic Web}, booktitle = {Proc. NSF Workshop on Next Generation Data Mining}, address = {Baltimore}, year = {2002}, pages = {77-86}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2002/NSF-NGDM02.pdf}, keywords = {2002, mining, myown, semantic, usage, web} }

%0 = inproceedings %A = Stumme, G. and Berendt, B. and Hotho, A. %B = Proc. NSF Workshop on Next Generation Data Mining %C = Baltimore %D = 2002 %T = Usage Mining for and on the Semantic Web %U = http://www.kde.cs.uni-kassel.de/stumme/papers/2002/NSF-NGDM02.pdf