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ICML
2004
IEEE
16 years 5 months ago
Learning first-order rules from data with multiple parts: applications on mining chemical compound data
Inductive learning of first-order theory based on examples has serious bottleneck in the enormous hypothesis search space needed, making existing learning approaches perform poorl...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
123
Voted
ADC
2006
Springer
120views Database» more  ADC 2006»
15 years 10 months ago
Approximate data mining in very large relational data
In this paper we discuss eNERF, an extended version of non-Euclidean relational fuzzy c-means (NERFCM) for approximate clustering in very large (unloadable) relational data. The e...
James C. Bezdek, Richard J. Hathaway, Christopher ...
FEGC
2008
79views Biometrics» more  FEGC 2008»
15 years 6 months ago
Data mining for activity extraction in video data
Jose Luis Patino, Etienne Corvée, Fran&cced...