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PPOPP
2006
ACM
15 years 5 months ago
On-line automated performance diagnosis on thousands of processes
Performance analysis tools are critical for the effective use of large parallel computing resources, but existing tools have failed to address three problems that limit their scal...
Philip C. Roth, Barton P. Miller
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 8 days ago
A probabilistic framework for relational clustering
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
DMIN
2007
183views Data Mining» more  DMIN 2007»
15 years 1 months ago
Crawling Attacks Against Web-based Recommender Systems
—User profiles derived from Web navigation data are used in important e-commerce applications such as Web personalization, recommender systems, and Web analytics. In the open en...
Runa Bhaumik, Robin D. Burke, Bamshad Mobasher
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 3 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
14 years 2 months ago
Multi-Instance Mixture Models
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
James R. Foulds, Padhraic Smyth