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ICMCS
2006
IEEE
344views Multimedia» more  ICMCS 2006»
15 years 7 months ago
Pattern Mining in Visual Concept Streams
Pattern mining algorithms are often much easier applied than quantitatively assessed. In this paper we address the pattern evaluation problem by looking at both the capability of ...
Lexing Xie, Shih-Fu Chang
EUSFLAT
2009
220views Fuzzy Logic» more  EUSFLAT 2009»
14 years 11 months ago
Web Usage Mining: users' navigational patterns extraction from web logs using ant-based clustering method
Web Usage Mining is the process of applying data mining techniques to the discovery of usage patterns from data extracted from Web Log files. It mines the secondary data (web logs)...
Kobra Etminani, Mohammad R. Akbarzadeh-Totonchi, N...
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
15 years 7 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey
AOSD
2007
ACM
15 years 5 months ago
Generating parallel applications for distributed memory systems using aspects, components, and patterns
Developing and debugging parallel programs particularly for distributed memory architectures is still a difficult task. The most popular approach to developing parallel programs f...
Purushotham V. Bangalore
PAKDD
2010
ACM
203views Data Mining» more  PAKDD 2010»
15 years 6 months ago
Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph
Both itemset mining and graph mining have been studied independently. Here, we introduce a novel data structure, which is an unweighted graph whose vertices contain itemsets. From ...
Mutsumi Fukuzaki, Mio Seki, Hisashi Kashima, Jun S...