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» Mining for Patterns in Contradictory Data
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133
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ACMSE
2009
ACM
15 years 10 months ago
A hybrid approach to mining frequent sequential patterns
The mining of frequent sequential patterns has been a hot and well studied area—under the broad umbrella of research known as KDD (Knowledge Discovery and Data Mining)— for we...
Erich Allen Peterson, Peiyi Tang
146
Voted
PAKDD
2001
ACM
157views Data Mining» more  PAKDD 2001»
15 years 8 months ago
Applying Pattern Mining to Web Information Extraction
Information extraction (IE) from semi-structured Web documents is a critical issue for information integration systems on the Internet. Previous work in wrapper induction aim to so...
Chia-Hui Chang, Shao-Chen Lui, Yen-Chin Wu
KDD
2005
ACM
170views Data Mining» more  KDD 2005»
16 years 4 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
147
Voted
CIKM
2004
Springer
15 years 9 months ago
Scalable sequential pattern mining for biological sequences
Biosequences typically have a small alphabet, a long length, and patterns containing gaps (i.e., “don’t care”) of arbitrary size. Mining frequent patterns in such sequences ...
Ke Wang, Yabo Xu, Jeffrey Xu Yu
139
Voted
ICDM
2006
IEEE
166views Data Mining» more  ICDM 2006»
15 years 9 months ago
Mining Generalized Graph Patterns Based on User Examples
There has been a lot of recent interest in mining patterns from graphs. Often, the exact structure of the patterns of interest is not known. This happens, for example, when molecu...
Pavel Dmitriev, Carl Lagoze