Conferator - a Social System for Conference and Contact Management.
Poster at INFORMATIK 2013. 2013.
Martin Atzmueller, Mark Kibanov, Christoph Scholz und Gerd Stumme.
[BibTeX]
Evolution of Contacts and Communities in Networks of Face-to-Face Proximity (Extended Abstract, Resubmission).
In:
Proc. LWA 2013 (KDML Special Track).
University of Bamberg, Bamberg, Germany, 2013.
Mark Kibanov, Martin Atzmueller, Christoph Scholz und Gerd Stumme.
[BibTeX]
On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity.
In:
Proc. IEEE CPSCom 2013.
IEEE Computer Society, Boston, MA, USA, 2013.
Mark Kibanov, Martin Atzmueller, Christoph Scholz und Gerd Stumme.
[BibTeX]
User-Relatedness and Community Structure in Social Interaction Networks.
CoRR/abs, 1309.3888, 2013.
Folke Mitzlaff, Martin Atzmueller, Dominik Benz, Andreas Hotho und Gerd Stumme.
[BibTeX]
How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks.
In:
Proc. ASONAM 2013.
ACM Press, New York, NY, USA, 2013.
Christoph Scholz, Martin Atzmueller, Mark Kibanov und Gerd Stumme.
[BibTeX]
Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles.
In:
Modeling and Mining Ubiquitous Social Media.
Springer Verlag, Heidelberg, Germany, 2012.
Martin Atzmueller, Stephan Doerfel, Andreas Hotho, Folke Mitzlaff und Gerd Stumme.
[doi]
[BibTeX]
A Personality Based Design Approach Using Subgroup Discovery.
In:
Human-Centred Software Engineering, Seiten 259-266 .
Springer, Heidelberg, Germany, 2012.
Kay Behrenbruch, Martin Atzmueller, Christoph Evers, Ludger Schmidt, Gerd Stumme und Kurt Geihs.
[Kurzfassung]
[BibTeX]
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.
On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties.
In:
Proc. Fourth ASE/IEEE International Conference on Social Computing (SocialCom).
IEEE Computer Society, Boston, MA, USA, 2012.
Christoph Scholz, Martin Atzmueller und Gerd Stumme.
[doi]
[BibTeX]
Community Assessment using Evidence Networks.
In:
Analysis of Social Media and Ubiquitous Data, Band 6904, Reihe LNAI.
2011.
Folke Mitzlaff, Martin Atzmueller, Dominik Benz, Andreas Hotho und Gerd Stumme.
[BibTeX]
On the Semantics of User Interaction in Social Media (Extended Abstract, Resubmission).
In:
Proc. LWA 2013 (KDML Special Track).
University of Bamberg, Bamberg, Germany, 2011.
Folke Mitzlaff, Martin Atzmueller, Gerd Stumme und Andreas Hotho.
[BibTeX]
Proceedings of the LWA 2010 - Lernen, Wissen, Adaptivität.
2010.
[BibTeX]
Bridging the Gap-Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0.
Web Semantics: Science, Services and Agents on the World Wide Web, 8(2-3):95 - 96, 2010.
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
Bettina Berendt, Andreas Hotho und Gerd Stumme.
[doi]
[BibTeX]
Semantic Web Mining - State of the Art and Future Directions.
Journal of Web Semantics, 4(2):124-143, 2006.
Gerd Stumme, Andreas Hotho und Bettina Berendt.
[doi]
[Kurzfassung]
[BibTeX]
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 on improving the results ofWeb Mining by exploiting semantic structures in theWeb, and they make use ofWeb Mining techniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic Web itself. The Semantic Web is the second-generation WWW, enriched by machine-processable information which supports the user in his tasks. Given the enormous size even of today’s Web, it is impossible to manually enrich all of these 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 primarily syntactical 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 Web Mining and Semantic Web need each other to fulfill their goals, but that the full potential of this convergence is not yet realized. This paper gives an overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable.
A Roadmap for Web Mining: From Web to Semantic Web..
In: B. Berendt, A. Hotho, D. Mladenic, M. van Someren, M. Spiliopoulou und G. Stumme
(Herausgeber):
Web Mining: From Web to Semantic Web, Band 3209, Seiten 1-22.
Springer, Heidelberg, 2004.
Bettina Berendt, Andreas Hotho, Dunja Mladenic, Maarten van Someren, Myra Spiliopoulou und Gerd Stumme.
[doi]
[Kurzfassung]
[BibTeX]
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.
Usage Mining for and on the Semantic Web.
In:
H. Kargupta, A. Joshi, K. Sivakumar und Y. Yesha (Herausgeber):
Data Mining Next Generation Challenges and Future Directions, Seiten 461-481.
AAAI Press, Boston, 2004.
Bettina Berendt, Andreas Hotho und Gerd Stumme.
[doi]
[Kurzfassung]
[BibTeX]
Semantic Web Mining aims at combining the two fast-developing
research areas Semantic Web and Web Mining.
Web Mining aims at discovering insights about the meaning of Web
resources and their usage. Given the primarily syntactical nature
of data Web mining operates on, the discovery of meaning is
impossible based on these data only. Therefore, formalizations of
the semantics of Web resources and navigation behavior are
increasingly being used. This fits exactly with the aims of the
Semantic Web: the Semantic Web enriches the WWW by
machine-processable information which supports the user in his
tasks. In this paper, we discuss the interplay of the Semantic Web
with Web Mining, with a specific focus on usage mining.
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.
LNAI. Band 3209.
Springer, Heidelberg, 2004.
http://km.aifb.uni-karlsruhe.de/ws/ewmf03/.
Bettina Berendt, Andreas Hotho, Dunja Mladenic, Maarten van Someren, Myra Spiliopoulou und Gerd Stumme.
[doi]
[BibTeX]
Proceedings of the 1st European Web Mining Forum (EWMF 2003).
Cavtat/Dubrovnik, Croatia, 2003.
B. Berendt, A. Hotho, D. Mladenić, M. van Someren, M. Spiliopoulou und G. Stumme.
[doi]
[BibTeX]
Ontologies improve text document clustering.
In:
Proceedings of the 2003 IEEE International Conference on Data Mining, Seiten 541-544 (Poster.
IEEE Computer Society, Melbourne, Florida, 2003.
Andreas Hotho, Steffen Staab und Gerd Stumme.
[doi]
[BibTeX]
Usage Mining for and on the Semantic Web.
In:
Proc. NSF Workshop on Next Generation Data Mining, Seiten 77-86.
Baltimore, 2002.
G. Stumme, B. Berendt und A. Hotho.
[doi]
[BibTeX]