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.
Workshop Topics
Possible topics of the workshop include (but are not limited to):
* Social network analysis
* Bibliometrics
* Community discovery
* Personalization for search and for social interaction
* Recommender systems
* Web mining algorithms
* Applications of social network analysis
* Mining (Collaborative) Tagging Systems (blogs, wikis, etc.)
* Mining social data for multimedia information retrieval
* Opinion mining
Business narrative is a set of techniques based on the collection and interpretation of stories collected from a workplace. This technique is most effective when applied to seemingly intractable problems such as culture change, trust, innovation, leadersh
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
M. Atzmueller, L. Thiele, G. Stumme, и 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, и S. Kauffeld. Proc. ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, New York, NY, USA, ACM Press, (2016)