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PKDD
2005
Springer
129views Data Mining» more  PKDD 2005»
15 years 8 months ago
Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Mining
Abstract. The paradigm of pattern discovery based on constraints was introduced with the aim of providing to the user a tool to drive the discovery process towards potentially inte...
Stefano Bistarelli, Francesco Bonchi
123
Voted
KDD
2005
ACM
170views Data Mining» more  KDD 2005»
16 years 2 months ago
Parallel mining of closed sequential patterns
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Shengnan Cong, Jiawei Han, David A. Padua
214
Voted
VLDB
2002
ACM
133views Database» more  VLDB 2002»
16 years 2 months ago
Tree pattern query minimization
: Purpose ? Tree pattern is at the core of XML queries. The tree patterns in XML queries typically contain redundancies, especially when broad integrity constraints (ICs) are prese...
Sihem Amer-Yahia, SungRan Cho, Laks V. S. Lakshman...
KDD
2008
ACM
138views Data Mining» more  KDD 2008»
16 years 2 months ago
Quantitative evaluation of approximate frequent pattern mining algorithms
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
Rohit Gupta, Gang Fang, Blayne Field, Michael Stei...
KDD
2007
ACM
179views Data Mining» more  KDD 2007»
15 years 8 months ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong