@incollection{ABP:11, author = {Atzmueller, Martin and Beer, Stephanie and Puppe, Frank}, booktitle = {Collaboration and the Semantic Web: Social Networks, Knowledge Networks, and Knowledge Resources}, editor = {Brüggemann, Stefan and d’Amato, Claudia}, interhash = {9c0d3f10e985d8654d8a2eae39121ef2}, intrahash = {781410de8780f9033aae08162cbdf073}, pages = {149-167}, publisher = {IGI Global}, title = {{Data Mining, Validation and Collaborative Knowledge Capture}}, year = 2012 } @article{Atzmueller:12, author = {Atzmueller, Martin}, interhash = {ce21e72d189207dbee58420af81efca8}, intrahash = {a66dc503e2f90d0a484e0dbef5febcd3}, journal = {Informatik Spektrum}, number = 2, pages = {132-135}, title = {Mining Social Media}, volume = 35, year = 2012 } @inproceedings{Atzmueller:12b, address = {New York, NY, USA}, author = {Atzmueller, Martin}, booktitle = {Proc. 3rd International Workshop on Modeling Social Media (MSM 2012), Hypertext 2012}, interhash = {59cc9a3c8221ebd802aa85acaba4506f}, intrahash = {52600def4f1f0d36b86ed4fbd15e353a}, publisher = {ACM Press}, title = {{Onto Collective Intelligence in Social Media: Exemplary Applications and Perspectives}}, year = 2012 } @incollection{LA:12, address = {Heidelberg, Germany}, alteditor = {Editor}, author = {Lemmerich, Florian and Atzmueller, Martin}, booktitle = {{Modeling and Mining Ubiquitous Social Media}}, interhash = {ae9dc5bfe7f42f1e9ca59aadda4bfd9e}, intrahash = {8435f029bf0e32340e2cf44d0eeb65e7}, publisher = {Springer Verlag}, series = {LNAI}, title = {{Describing Locations using Tags and Images: Explorative Pattern Mining in Social Media}}, url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/lemmerich-explorative-pattern-mining-socia-media-lnai-2012.pdf}, volume = 7472, year = 2012 } @proceedings{CAH:12, address = {New York, NY, USA}, editor = {Chin, Alvin and Atzmueller, Martin and Helic, Denis}, interhash = {8c21f6c9eb9d4658ca2374f12a63e950}, intrahash = {338ca2515a0f6cd77996d1bbf54c7f4d}, publisher = {ACM Press}, title = {{Proceedings MSM 2012: Workshop on Modeling Social Media -- Collective Intelligence in Social Media}}, year = 2012 } @inproceedings{AL:12a, address = {Heidelberg, Germany}, author = {Atzmueller, Martin and Lemmerich, Florian}, booktitle = {Proc. ECML/PKDD 2012: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. accepted}, interhash = {6f00bb468dbc49b2adf426302bcf39f6}, intrahash = {e2aac1cdeabeeb4568e2ef4ffe9464d2}, publisher = {Springer Verlag}, title = {{VIKAMINE - Open-Source Subgroup Discovery, Pattern Mining, and Analytics}}, url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/atzmueller-vikamine2-ecml-pkdd-2012.pdf}, year = 2012 } @article{Atzmueller:12c, author = {Atzmueller, Martin}, interhash = {0b20c1d53d5df05326d594726273c2fb}, intrahash = {7b616e64994893a2aad95b5ad95db662}, journal = {WIREs: Data Mining and Knowledge Discovery}, title = {{Mining Social Media: Key Players, Sentiments, and Communities}}, volume = {In Press}, year = 2012 } @inproceedings{SNKA:12, address = {Bristol, UK}, author = {Seipel, Dietmar and Neubeck, Philipp and Köhler, Stefan and Atzmueller, Martin}, booktitle = {Proc. ECML/PKDD Workshop on New Frontiers in Mining Complex Patterns}, interhash = {6ddaf3fd7606e39482a97cbce7a01892}, intrahash = {e80737788c869221f272dd9af03acecf}, title = {{Mining Complex Event Patterns in Computer Networks}}, year = 2012 } @incollection{BAESSG:12, 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.}, address = {Heidelberg, Germany}, author = {Behrenbruch, Kay and Atzmueller, Martin and Evers, Christoph and Schmidt, Ludger and Stumme, Gerd and Geihs, Kurt}, booktitle = {Human-Centred Software Engineering}, interhash = {1e609af1021c5acbb5db78444c52a9e9}, intrahash = {847830846b80d4507aa4b93d1c8deb83}, pages = {259--266 }, publisher = {Springer}, series = {LNCS}, title = {{A Personality Based Design Approach Using Subgroup Discovery}}, volume = 7623, year = 2012 } @inproceedings{SAS:12, address = {Boston, MA, USA}, author = {Scholz, Christoph and Atzmueller, Martin and Stumme, Gerd}, booktitle = {Proc. Fourth ASE/IEEE International Conference on Social Computing (SocialCom)}, interhash = {9bc5d42018dbe8b926be214190258b3c}, intrahash = {be5ae4b92170e7c595f5fdcac15b4786}, publisher = {IEEE Computer Society}, title = {{On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties}}, url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/scholz-on-f2f-predictability-socialcom-2012.pdf}, year = 2012 } @incollection{ADHMS:12, address = {Heidelberg, Germany}, alteditor = {Editor}, author = {Atzmueller, Martin and Doerfel, Stephan and Hotho, Andreas and Mitzlaff, Folke and Stumme, Gerd}, booktitle = {{Modeling and Mining Ubiquitous Social Media}}, interhash = {4f1f4b515b01cc448a91b3e368deabad}, intrahash = {d81d6f6ccdf3ff6572898d39c90e6354}, publisher = {Springer Verlag}, series = {LNAI}, title = {Face-to-Face Contacts at a Conference: Dynamics of Communities and Roles}, url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/atzmueller-face-to-face-contacts-dynamics-lnai-2012.pdf}, volume = 7472, year = 2012 } @inproceedings{doerfel2012leveraging, abstract = {The ever-growing flood of new scientific articles requires novel retrieval mechanisms. One means for mitigating this instance of the information overload phenomenon are collaborative tagging systems, that allow users to select, share and annotate references to publications. These systems employ recommendation algorithms to present to their users personalized lists of interesting and relevant publications. In this paper we analyze different ways to incorporate social data and metadata from collaborative tagging systems into the graph-based ranking algorithm FolkRank to utilize it for recommending scientific articles to users of the social bookmarking system BibSonomy. We compare the results to those of Collaborative Filtering, which has previously been applied for resource recommendation.}, acmid = {2365937}, address = {New York, NY, USA}, author = {Doerfel, Stephan and Jäschke, Robert and Hotho, Andreas and Stumme, Gerd}, booktitle = {Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web}, doi = {10.1145/2365934.2365937}, interhash = {beb2c81daf975eeed6e01e1b412196b1}, intrahash = {d3e6fa8023b173228a959914affc8d73}, isbn = {978-1-4503-1638-5}, location = {Dublin, Ireland}, numpages = {8}, pages = {9--16}, publisher = {ACM}, series = {RSWeb '12}, title = {Leveraging Publication Metadata and Social Data into FolkRank for Scientific Publication Recommendation}, url = {http://doi.acm.org/10.1145/2365934.2365937}, year = 2012 }