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
P. Kluegl, M. Atzmueller, und F. Puppe. Proc. LWA 2009, Knowledge Discovery and Machine Learning Track, Darmstadt, Germany, University of Darmstadt, (2009)
M. Atzmueller, und F. Puppe. Proc. Workshop on Prior Conceptual Knowledge in Machine Learning and Knowledge Discovery (PriCKL'07), at the 18th European Conference on Machine Learning (ECML'07), 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'07), Warsaw, Poland, (2007)
M. Atzmueller, und F. Puppe. Proc. Workshop on Prior Conceptual Knowledge in Machine Learning and Knowledge Discovery (PriCKL'07), at the 18th European Conference on Machine Learning (ECML'07), 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'07), Warsaw, Poland, (2007)
M. Atzmueller, und F. Puppe. Proc. 15th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2006), 4248, Seite 318--325. (2006)
M. Atzmueller, und F. Puppe. Proc. 15th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2006), 4248, Seite 318--325. (2006)
T. Vijayakumar, V.Nivedhitha, K.Deeba, und M. Bama. International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), 2 (1):
35-43(Februar 2012)