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DATAMINE
2010
166views more  DATAMINE 2010»
13 years 7 months ago
Optimal constraint-based decision tree induction from itemset lattices
In this article we show that there is a strong connection between decision tree learning and local pattern mining. This connection allows us to solve the computationally hard probl...
Siegfried Nijssen, Élisa Fromont
KDD
2008
ACM
192views Data Mining» more  KDD 2008»
14 years 8 months ago
Partial least squares regression for graph mining
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
Hiroto Saigo, Koji Tsuda, Nicole Krämer
JDCTA
2010
225views more  JDCTA 2010»
13 years 2 months ago
Multi-Level Weighted Sequential Pattern Mining Based on Prime Encoding
Encoding can express the hierarchical relationship in the area of mining the multi-level sequential pattern, up to now all the algorithms of which find frequent sequences just acc...
Yun Li, Lianglei Sun, Jiang Yin, Wenyan Bao, Mengy...
DKE
2007
129views more  DKE 2007»
13 years 7 months ago
First-order temporal pattern mining with regular expression constraints
Previous studies on mining sequential patterns have focused on temporal patterns specified by some form of propositional temporal logic. However, there are some interesting seque...
Sandra de Amo, Daniel A. Furtado
SDM
2012
SIAM
293views Data Mining» more  SDM 2012»
11 years 10 months ago
RP-growth: Top-k Mining of Relevant Patterns with Minimum Support Raising
One practical inconvenience in frequent pattern mining is that it often yields a flood of common or uninformative patterns, and thus we should carefully adjust the minimum suppor...
Yoshitaka Kameya, Taisuke Sato