Stock Cloud began as data mining experiment with a very simple goal — "Could we extract Business Partnerships by tracking press releases?" To accomplish this we selected a press release distribution agency, MarketWire, and began tracking releases. Usi
Stock Cloud began as data mining experiment with a very simple goal — "Could we extract Business Partnerships by tracking press releases?" To accomplish this we selected a press release distribution agency, MarketWire, and began tracking releases. Usi
professor of Robotics and Computer Science at the School of Computer Science, Carnegie Mellon University. My main research interest is data mining...
During my teaching at CMU I've accumulated quite a number of introductory and advanced teaching materials about Data Mining, Machine Learning and Algorithms for AI. Click here for a set of Data Mining tutorials. In addition, some of the course links below can take you to additional teaching and learning materials.
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
DDM algorithms for mining large distributed data sources,DDM algorithms for monitoring data streams, Privacy preserving distributed multi-party data mining;Sensor networks, Grid mining, mobile/wireless;applications, privacy preserving security-related
M. Atzmueller, F. Lemmerich, J. Reutelshoefer, and F. Puppe. Proc. 2nd International Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS2009), volume 545 of CEUR-WS, Krakow, Poland, (2009)
M. Atzmueller, F. Lemmerich, J. Reutelshoefer, and F. Puppe. Proc. 2nd International Workshop on Design, Evaluation and Refinement of Intelligent Systems (DERIS2009), volume 545 of CEUR-WS, Krakow, Poland, (2009)
I. Mierswa, M. Wurst, R. Klinkenberg, M. Scholz, and T. Euler. KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, page 935--940. New York, NY, USA, ACM, (2006)