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KDD
2008
ACM
115views Data Mining» more  KDD 2008»
16 years 7 months ago
SPIRAL: efficient and exact model identification for hidden Markov models
Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...
Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamu...
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
16 years 7 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 10 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
IV
2009
IEEE
141views Visualization» more  IV 2009»
16 years 1 months ago
Connecting Genes with Diseases
We present a visual data mining application using the combination of clinical data, pathways and biomolecular data. Using pathways to navigate and filter the clinical and molecula...
Heimo Müller, Robert Reihs, Stefan Sauer 0002...
KDD
2009
ACM
229views Data Mining» more  KDD 2009»
16 years 7 months ago
An association analysis approach to biclustering
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis perform...
Gaurav Pandey, Gowtham Atluri, Michael Steinbach, ...