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KDD
2005
ACM
165views Data Mining» more  KDD 2005»
16 years 8 days ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
KDD
2002
ACM
196views Data Mining» more  KDD 2002»
16 years 8 days ago
Comparing Two Recommender Algorithms with the Help of Recommendations by Peers
Abstract. Since more and more Web sites, especially sites of retailers, offer automatic recommendation services using Web usage mining, evaluation of recommender algorithms has bec...
Andreas Geyer-Schulz, Michael Hahsler
SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
15 years 9 months ago
Mining Complex Spatio-Temporal Sequence Patterns.
Mining sequential movement patterns describing group behaviour in potentially streaming spatio-temporal data sets is a challenging problem. Movements are typically noisy and often...
Florian Verhein
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
15 years 6 months ago
Scalable Algorithms for Distribution Search
Distribution data naturally arise in countless domains, such as meteorology, biology, geology, industry and economics. However, relatively little attention has been paid to data m...
Yasuko Matsubara, Yasushi Sakurai, Masatoshi Yoshi...
ESWS
2009
Springer
15 years 6 months ago
Improving Ontology Matching Using Meta-level Learning
Despite serious research efforts, automatic ontology matching still suffers from severe problems with respect to the quality of matching results. Existing matching systems trade-of...
Kai Eckert, Christian Meilicke, Heiner Stuckenschm...