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DAWAK
2006
Springer
15 years 4 months ago
COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach
Sequential pattern mining aims to find frequent patterns (guarded by a minimum support) in a database of sequences. As the support decreases the number of sequential patterns will...
Kuo-Yu Huang, Chia-Hui Chang, Jiun-Hung Tung, Chen...
ICDE
2006
IEEE
152views Database» more  ICDE 2006»
16 years 3 months ago
Mining Actionable Patterns by Role Models
Data mining promises to discover valid and potentially useful patterns in data. Often, discovered patterns are not useful to the user. "Actionability" addresses this pro...
Ke Wang, Yuelong Jiang, Alexander Tuzhilin
CVPR
2011
IEEE
14 years 10 months ago
Mining Discriminative Co-occurrence Patterns for Visual Recognition
The co-occurrence pattern, a combination of binary or local features, is more discriminative than individual features and has shown its advantages in object, scene, and action rec...
Junsong Yuan, Ming Yang, Ying Wu
EDBT
2010
ACM
205views Database» more  EDBT 2010»
15 years 5 months ago
Advanced knowledge discovery on movement data with the GeoPKDD system
The growing availability of mobile devices produces an enormous quantity of personal tracks which calls for advanced analysis methods capable of extracting knowledge out of massiv...
Mirco Nanni, Roberto Trasarti, Chiara Renso, Fosca...
DAWAK
2008
Springer
15 years 4 months ago
Mining Sequential Patterns with Negative Conclusions
Abstract. The new type of patterns: sequential patterns with the negative conclusions is proposed in the paper. They denote that a certain set of items does not occur after a regul...
Przemyslaw Kazienko