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PKDD
2010
Springer
125views Data Mining» more  PKDD 2010»
15 years 1 months ago
NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification
Abstract. Pattern-based classification has demonstrated its power in recent studies, but because the cost of mining discriminative patterns as features in classification is very ex...
Hyungsul Kim, Sangkyum Kim, Tim Weninger, Jiawei H...
127
Voted
HICSS
2007
IEEE
176views Biometrics» more  HICSS 2007»
15 years 10 months ago
Mining Fuzzy Weighted Association Rules
The paper combines and extends the technologies of fuzzy sets and association rules, considering users’ differential emphasis on each attribute through fuzzy regions. A fuzzy da...
David L. Olson, Yanhong Li
167
Voted
KDD
2004
ACM
144views Data Mining» more  KDD 2004»
16 years 4 months ago
IncSpan: incremental mining of sequential patterns in large database
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
Hong Cheng, Xifeng Yan, Jiawei Han
134
Voted
CIKM
2006
Springer
15 years 7 months ago
An integer programming approach for frequent itemset hiding
The rapid growth of transactional data brought, soon enough, into attention the need of its further exploitation. In this paper, we investigate the problem of securing sensitive k...
Aris Gkoulalas-Divanis, Vassilios S. Verykios
129
Voted
BMCBI
2010
155views more  BMCBI 2010»
15 years 3 months ago
A flexible R package for nonnegative matrix factorization
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Renaud Gaujoux, Cathal Seoighe