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» Incremental Mining of Sequential Patterns in Large Databases
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CIKM
2009
Springer
14 years 2 months ago
Graph classification based on pattern co-occurrence
Subgraph patterns are widely used in graph classification, but their effectiveness is often hampered by large number of patterns or lack of discrimination power among individual p...
Ning Jin, Calvin Young, Wei Wang
ADMA
2005
Springer
124views Data Mining» more  ADMA 2005»
13 years 9 months ago
Finding All Frequent Patterns Starting from the Closure
Efficient discovery of frequent patterns from large databases is an active research area in data mining with broad applications in industry and deep implications in many areas of d...
Mohammad El-Hajj, Osmar R. Zaïane
ICDE
2009
IEEE
188views Database» more  ICDE 2009»
14 years 9 months ago
GuruMine: A Pattern Mining System for Discovering Leaders and Tribes
In this demo we introduce GuruMine, a pattern mining system for the discovery of leaders, i.e., influential users in social networks, and their tribes, i.e., a set of users usually...
Amit Goyal 0002, Byung-Won On, Francesco Bonchi, L...
DIS
2004
Springer
13 years 11 months ago
An Efficient Algorithm for Enumerating Closed Patterns in Transaction Databases
: The class of closed patterns is a well known condensed representations of frequent patterns, and have recently attracted considerable interest. In this paper, we propose an effic...
Takeaki Uno, Tatsuya Asai, Yuzo Uchida, Hiroki Ari...
KDD
2006
ACM
183views Data Mining» more  KDD 2006»
14 years 8 months ago
Discovering interesting patterns through user's interactive feedback
In this paper, we study the problem of discovering interesting patterns through user's interactive feedback. We assume a set of candidate patterns (i.e., frequent patterns) h...
Dong Xin, Xuehua Shen, Qiaozhu Mei, Jiawei Han