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PAKDD
2007
ACM
115views Data Mining» more  PAKDD 2007»
14 years 2 months ago
Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB
The shear volume of the results in traditional support based frequent sequential pattern mining methods has led to increasing interest in new intelligent mining methods to find mo...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010
EDBT
2008
ACM
160views Database» more  EDBT 2008»
13 years 10 months ago
Taxonomy-superimposed graph mining
New graph structures where node labels are members of hierarchically organized ontologies or taxonomies have become commonplace in different domains, e.g., life sciences. It is a ...
Ali Cakmak, Gultekin Özsoyoglu
ESWA
2006
139views more  ESWA 2006»
13 years 8 months ago
An efficient data mining approach for discovering interesting knowledge from customer transactions
Mining association rules and mining sequential patterns both are to discover customer purchasing behaviors from a transaction database, such that the quality of business decision ...
Show-Jane Yen, Yue-Shi Lee
KDD
2008
ACM
246views Data Mining» more  KDD 2008»
14 years 9 months ago
Direct mining of discriminative and essential frequent patterns via model-based search tree
Frequent patterns provide solutions to datasets that do not have well-structured feature vectors. However, frequent pattern mining is non-trivial since the number of unique patter...
Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Y...
JISE
2008
108views more  JISE 2008»
13 years 8 months ago
Efficient Discovery of Frequent Continuities by Projected Window List Technology
Mining frequent patterns in databases is a fundamental and essential problem in data mining research. A continuity is a kind of causal relationship which describes a definite temp...
Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin