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» Analysis of sampling techniques for association rule mining
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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
15 years 10 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
WEBNET
2000
14 years 11 months ago
Mining the Most Interesting Web Access Associations
: Web access patterns can provide valuable information for website designers in making website-based communication more efficient. To extract interesting or useful web access patte...
Li Shen, Ling Cheng, James Ford, Fillia Makedon, V...
ICDE
2007
IEEE
129views Database» more  ICDE 2007»
15 years 4 months ago
Ontology-driven Rule Generalization and Categorization for Market Data
—Radio Frequency Identification (RFID) is an emerging technique that can significantly enhance supply chain processes and deliver customer service improvements. RFID provides use...
Dongwoo Won, Dennis McLeod
KDD
1999
ACM
184views Data Mining» more  KDD 1999»
15 years 2 months ago
Mining Optimized Gain Rules for Numeric Attributes
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Sergey Brin, Rajeev Rastogi, Kyuseok Shim
INTERACTION
2009
ACM
15 years 4 months ago
Temporal-spatial association analysis of ocean salinity and temperature variations
Ocean circulation plays an important role in global climate change. In an effort to monitor ocean circulation an infrastructure of more than 3,000 buoys have been deployed in the ...
Yo-Ping Huang, Jung-Shian Jau, Frode Eika Sandnes