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
K. Pandey, R. Yadu, A. Dwivedi, and P. Shukla. International Journal on Recent and Innovation Trends in Computing and Communication, 3 (2):
456--460(February 2015)
J. Eggermont, A. Eiben, and J. van
Hemert. Advances in Intelligent Data Analysis, Third
International Symposium, IDA-99, volume 1642 of LNCS, page 281--290. Amsterdam, The Netherlands, Springer-Verlag, (9--11 August 1999)
M. Atzmueller, S. Beer, and F. Puppe. Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), page 402--407. AAAI Press, (2009)
M. Atzmueller, S. Beer, and F. Puppe. Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), accepted, page 372-377. AAAI Press, (2009)
M. Atzmueller, S. Beer, and F. Puppe. Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), page 402--407. AAAI Press, (2009)
M. Atzmueller, S. Beer, and F. Puppe. Proc. 22nd International Florida Artificial Intelligence Research Society Conference (FLAIRS), accepted, page 372-377. AAAI Press, (2009)
P. Kluegl, M. Atzmueller, and F. Puppe. Proc. LWA 2009, Knowledge Discovery and Machine Learning Track, Darmstadt, Germany, University of Darmstadt, (2009)
P. Kluegl, M. Atzmueller, and F. Puppe. Proc. LWA 2009, Knowledge Discovery and Machine Learning Track, Darmstadt, Germany, University of Darmstadt, (2009)
M. Atzmueller, and 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, and 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, and F. Puppe. Proc. 15th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2006), 4248, page 318--325. (2006)
M. Atzmueller, and F. Puppe. Proc. 15th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2006), 4248, page 318--325. (2006)
T. Vijayakumar, V.Nivedhitha, K.Deeba, and M. Bama. International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), 2 (1):
35-43(February 2012)
L. Martin, F. Moal, and C. Vrain. Proceedings of the 2nd European Symposium on
Principles of Data Mining and Knowledge Discovery
(PKDD-98), volume 1510 of Lecture Notes in Artificial Intelligence, page 130--138. Nantes, France, Springer-Verlag, (23--26 September 1998)
S. Kontamwar, P. Warbhe, and 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, and 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, and 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, and K. Scherer. Proc. GWEM 2017, co-located with 9th Conference Professional Knowledge Management (WM 2017), Karlsruhe, Germany, KIT, (2017)
J. Lin, E. Keogh, S. Lonardi, and B. Chiu. Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, page 2--11. New York, NY, USA, ACM, (2003)
G. Kothari, A. Ahuje, A. Patel, and A. Khilari. International Journal on Recent and Innovation Trends in Computing and Communication, 3 (4):
1802--1806(April 2015)
J. Eggermont, A. Eiben, and J. van Hemert. Genetic Programming, Proceedings of EuroGP'99, volume 1598 of LNCS, page 193--202. Goteborg, Sweden, Springer-Verlag, (26-27 May 1999)
J. Eggermont, and J. van Hemert. Genetic Programming, Proceedings of EuroGP'2001, volume 2038 of LNCS, page 23--35. Lake Como, Italy, Springer-Verlag, (18-20 April 2001)
M. Atzmueller. Solving Large Scale Learning Tasks: Challenges and Algorithms. Festschrift in Honour of Prof. Dr. Katharina Morik, volume 9580 of LNCS, Springer Verlag, (2016)
M. Atzmueller. Solving Large Scale Learning Tasks: Challenges and Algorithms. Festschrift in Honour of Prof. Dr. Katharina Morik, volume 9580 of LNCS, Springer Verlag, (2016)
U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth. chapter From data mining to knowledge discovery: an overview, American Association for Artificial Intelligence, Menlo Park, CA, USA, (1996)