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
L. Martin, F. Moal, und C. Vrain. Proceedings of the 2nd European Symposium on
Principles of Data Mining and Knowledge Discovery
(PKDD-98), Volume 1510 von Lecture Notes in Artificial Intelligence, Seite 130--138. Nantes, France, Springer-Verlag, (23--26 September 1998)
S. Kontamwar, P. Warbhe, und P. Dubey. International Journal on Recent and Innovation Trends in Computing and Communication, 3 (4):
2471--2473(April 2015)
D. Knoell, M. Atzmueller, C. Rieder, und K. Scherer. Proc. GWEM 2017, co-located with 9th Conference Professional Knowledge Management (WM 2017), Karlsruhe, Germany, KIT, ((In Press) 2017)
D. Knoell, M. Atzmueller, C. Rieder, und K. Scherer. Proc. GWEM 2017, co-located with 9th Conference Professional Knowledge Management (WM 2017), Karlsruhe, Germany, KIT, (2017)
D. Knoell, M. Atzmueller, C. Rieder, und K. Scherer. Proc. GWEM 2017, co-located with 9th Conference Professional Knowledge Management (WM 2017), Karlsruhe, Germany, KIT, (2017)