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» Constraint programming for itemset mining
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KDD
1999
ACM
220views Data Mining» more  KDD 1999»
15 years 4 months ago
Efficient Mining of Emerging Patterns: Discovering Trends and Differences
We introduce a new kind of patterns, called emerging patterns (EPs), for knowledge discovery from databases. EPs are defined as itemsets whose supports increase significantly from...
Guozhu Dong, Jinyan Li
SIGSOFT
2005
ACM
15 years 6 months ago
PR-Miner: automatically extracting implicit programming rules and detecting violations in large software code
Programs usually follow many implicit programming rules, most of which are too tedious to be documented by programmers. When these rules are violated by programmers who are unawar...
Zhenmin Li, Yuanyuan Zhou
99
Voted
DEXA
2004
Springer
153views Database» more  DEXA 2004»
15 years 5 months ago
A New Approach of Eliminating Redundant Association Rules
Two important constraints of association rule mining algorithm are support and confidence. However, such constraints-based algorithms generally produce a large number of redundant ...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
ICAI
2003
15 years 1 months ago
Mining Generalized Sequential Patterns Using Genetic Programming
We propose a new kind of sequential pattern which we call Generalized Sequential Pattern, and we introduce the problem of mining generalized sequential patterns over temporal datab...
Sandra de Amo, Ary dos Santos Rocha Jr.
88
Voted
AAAI
2010
15 years 1 months ago
Constraint Programming for Data Mining and Machine Learning
Machine learning and data mining have become aware that using constraints when learning patterns and rules can be very useful. To this end, a large number of special purpose syste...
Luc De Raedt, Tias Guns, Siegfried Nijssen