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INTELLCOMM
2004
Springer
14 years 23 days ago
A Breadth-First Algorithm for Mining Frequent Patterns from Event Logs
Abstract. Today, event logs contain vast amounts of data that can easily overwhelm a human. Therefore, the mining of frequent patterns from event logs is an important system and ne...
Risto Vaarandi
KDD
2007
ACM
170views Data Mining» more  KDD 2007»
14 years 7 months ago
From frequent itemsets to semantically meaningful visual patterns
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Junsong Yuan, Ying Wu, Ming Yang
AUSDM
2008
Springer
235views Data Mining» more  AUSDM 2008»
13 years 9 months ago
ShrFP-Tree: An Efficient Tree Structure for Mining Share-Frequent Patterns
Share-frequent pattern mining discovers more useful and realistic knowledge from database compared to the traditional frequent pattern mining by considering the non-binary frequen...
Chowdhury Farhan Ahmed, Syed Khairuzzaman Tanbeer,...
GRC
2010
IEEE
13 years 8 months ago
Local Pattern Mining from Sequences Using Rough Set Theory
Abstract--Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns ...
Ken Kaneiwa, Yasuo Kudo
KDID
2004
149views Database» more  KDID 2004»
13 years 8 months ago
Database Transposition for Constrained (Closed) Pattern Mining
Abstract. Recently, different works proposed a new way to mine patterns in databases with pathological size. For example, experiments in genome biology usually provide databases wi...
Baptiste Jeudy, François Rioult