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» Mining evolving data streams for frequent patterns
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ADMA
2006
Springer
220views Data Mining» more  ADMA 2006»
15 years 3 months ago
Mining and Validation of Localized Frequent Web Access Patterns with Dynamic Tolerance
Mining user profiles is a crucial task for Web usage mining, and can be accomplished by mining frequent patterns. However, in the Web usage domain, sessions tend to be very sparse,...
Olfa Nasraoui, Suchandra Goswami
ICDE
2008
IEEE
137views Database» more  ICDE 2008»
15 years 11 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...
ICMCS
2006
IEEE
344views Multimedia» more  ICMCS 2006»
15 years 3 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
AUSDM
2008
Springer
235views Data Mining» more  AUSDM 2008»
14 years 11 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,...
PAKDD
2009
ACM
170views Data Mining» more  PAKDD 2009»
15 years 6 months ago
Discovering Periodic-Frequent Patterns in Transactional Databases.
Since mining frequent patterns from transactional databases involves an exponential mining space and generates a huge number of patterns, efficient discovery of user-interest-based...
Byeong-Soo Jeong, Chowdhury Farhan Ahmed, Syed Kha...