From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures.
"Here's a preliminary data mining analysis of musical social networking service Last.fm. An automated classification into clusters or sub populations with related musical genres reveals the structure of musical preferences among the users in a relatively large sample population. Musical tag clouds are adopted to characterise users and populations, which adds a highly descriptive value and aids with the interpretation of the results."
N. Tatti, T. Mielikainen, A. Gionis, and H. Mannila. Proceedings of the Sixth IEEE International Conference on Data Mining (ICDM 2006), page 603--612. IEEE, (December 2006)
D. Mitomo, H. Nakamura, K. Ikeda, A. Yamagishi, and J. Higo. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 64 (4):
883-894(September 2006)Transition state of a SH3 domain detected with principle component analysis and a charge-neutralized all-atom protein model (p 883-894)
Daisuke Mitomo, Hironori K. Nakamura, Kazuyoshi Ikeda, Akihiko Yamagishi, Junichi Higo
Published Online: Jun 28 2006 4:14PM
DOI: 10.1002/prot.21069.