Atzmueller, M.; Beer, S. & Puppe, F. (2012), Data Mining, Validation and Collaborative Knowledge Capture, in Stefan Brüggemann & Claudia d’Amato, ed., 'Collaboration and the Semantic Web: Social Networks, Knowledge Networks, and Knowledge Resources' , IGI Global, , pp. 149-167 .
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Atzmueller, M.; Doerfel, S.; Hotho, A.; Mitzlaff, F. & Stumme, G. (2012), Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles 'Modeling and Mining Ubiquitous Social Media' , Springer Verlag, Heidelberg, Germany .
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Atzmueller, M. (2012), 'Mining Social Media: Key Players, Sentiments, and Communities', WIREs: Data Mining and Knowledge Discovery In Press .
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Atzmueller, M. (2012), Onto Collective Intelligence in Social Media: Exemplary Applications and Perspectives, in 'Proc. 3rd International Workshop on Modeling Social Media (MSM 2012), Hypertext 2012' , ACM Press, New York, NY, USA .
[BibTeX] [Endnote]

Atzmueller, M. & Lemmerich, F. (2012), VIKAMINE - Open-Source Subgroup Discovery, Pattern Mining, and Analytics, in 'Proc. ECML/PKDD 2012: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. accepted' , Springer Verlag, Heidelberg, Germany .
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Behrenbruch, K.; Atzmueller, M.; Evers, C.; Schmidt, L.; Stumme, G. & Geihs, K. (2012), A Personality Based Design Approach Using Subgroup Discovery 'Human-Centred Software Engineering' , Springer, Heidelberg, Germany , pp. 259--266 .
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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.

Chin, A.; Atzmueller, M. & Helic, D., ed. (2012), Proceedings MSM 2012: Workshop on Modeling Social Media -- Collective Intelligence in Social Media , ACM Press , New York, NY, USA .
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Lemmerich, F. & Atzmueller, M. (2012), Describing Locations using Tags and Images: Explorative Pattern Mining in Social Media 'Modeling and Mining Ubiquitous Social Media' , Springer Verlag, Heidelberg, Germany .
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Scholz, C.; Atzmueller, M. & Stumme, G. (2012), 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 .
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Seipel, D.; Neubeck, P.; Köhler, S. & Atzmueller, M. (2012), Mining Complex Event Patterns in Computer Networks, in 'Proc. ECML/PKDD Workshop on New Frontiers in Mining Complex Patterns' .
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