Graph mining refers to extracting knowledge from massive graphs. The data sets of telephone calls we see at AT&T can be viewed as a single graph, with several hundred million phone numbers as nodes, and calls between phone numbers as edges. It is a giant social network, like an internet connections graph or a rich citation network.
Using RhNav - Rhizome Navigation I wrote a data aggregator for Technorati's API. The first result is a video which visualizes blog domains by analysing Technorati's Cosmos (the blogs which link to a particular URL). The video is a screencast of RhNav fetc
A. Park, B. Beck, D. Fletche, P. Lam, and H. Tsang. 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), page 880-883. (August 2016)
M. Atzmueller, L. Thiele, G. Stumme, and S. Kauffeld. Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017), Eindhoven, The Netherlands, Eindhoven University of Technology, (2017)
M. Atzmueller, L. Thiele, G. Stumme, and S. Kauffeld. Proc. ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, New York, NY, USA, ACM Press, (2016)
M. Atzmueller, L. Thiele, G. Stumme, and S. Kauffeld. Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017), Eindhoven, The Netherlands, Eindhoven University of Technology, (2017)
M. Atzmueller. Proc. ECML-PKDD 2016: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Heidelberg, Germany, Springer Verlag, (2016)
M. Atzmueller, L. Thiele, G. Stumme, and S. Kauffeld. Proc. ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, New York, NY, USA, ACM Press, (2016)
M. Atzmueller, and B. Kloepper. Proc. International Conference on Intelligent Data Engineering and Automated Learning, Workshop on Methods for Interpretation of Industrial Event Logs, Heidelberg, Germany, Springer Verlag, ((accepted) 2018)
M. Atzmueller, L. Thiele, G. Stumme, and S. Kauffeld. Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017), Eindhoven, The Netherlands, Eindhoven University of Technology, (2017)
M. Atzmueller, L. Thiele, G. Stumme, and S. Kauffeld. Proc. ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, New York, NY, USA, ACM Press, (2016)
M. Atzmueller. Proc. ECML-PKDD 2016: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Heidelberg, Germany, Springer Verlag, (2016)
E. Cho, S. Myers, and J. Leskovec. Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, page 1082-1090. ACM, (2011)
B. Berendt, A. Hotho, and G. Stumme. 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.
B. Berendt, A. Hotho, and G. Stumme. 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.
J. Tang, J. Zhang, L. Yao, J. Li, L. Zhang, and Z. Su. Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 990--998. New York, NY, USA, ACM, (2008)
C. Scholz, J. Illig, M. Atzmueller, and G. Stumme. Proceedings of the 25th ACM Conference on Hypertext and Social Media, page 279--284. Santiago, Chile, ACM, (September 2014)
J. Tang, J. Zhang, L. Yao, J. Li, L. Zhang, and Z. Su. Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 990--998. New York, NY, USA, ACM, (2008)
C. Wang, J. Han, Y. Jia, J. Tang, D. Zhang, Y. Yu, and J. Guo. Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 203--212. New York, NY, USA, ACM, (2010)
B. Berendt, A. Hotho, and G. Stumme. 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.
B. Berendt, A. Hotho, and G. Stumme. 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.