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120
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ICDM
2003
IEEE
126views Data Mining» more  ICDM 2003»
15 years 9 months ago
Interpretations of Association Rules by Granular Computing
This paper presents interpretations for association rules. It first introduces Pawlak’s method, and the corresponding algorithm of finding decision rules (a kind of association ...
Yuefeng Li, Ning Zhong
136
Voted
SDM
2007
SIAM
133views Data Mining» more  SDM 2007»
15 years 5 months ago
Change-Point Detection using Krylov Subspace Learning
We propose an efficient algorithm for principal component analysis (PCA) that is applicable when only the inner product with a given vector is needed. We show that Krylov subspace...
Tsuyoshi Idé, Koji Tsuda
155
Voted
APAQS
2001
IEEE
15 years 7 months ago
Object-Oriented Program Behavior Analysis Based on Control Patterns
Code-patterns are statically recurring structure specific to a programming language. It can be parallel to aid in designing software systems for solving particular problems. Contr...
C.-C. Hwang, S.-K. Huang, D.-J. Chen, D. Chen
167
Voted
KDD
2007
ACM
179views Data Mining» more  KDD 2007»
15 years 9 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
109
Voted
CVPR
2007
IEEE
16 years 5 months ago
Feature Mining for Image Classification
The efficiency and robustness of a vision system is often largely determined by the quality of the image features available to it. In data mining, one typically works with immense...
Piotr Dollár, Zhuowen Tu, Hai Tao, Serge Be...