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» Mining for Useful Association Rules Using the ATMS
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EEE
2004
IEEE
13 years 11 months ago
Mining Traveling and Purchasing Behaviors of Customers in Electronic Commerce Environment
Web usage mining is the process of extracting interesting patterns from web logs. This paper proposes an IPA (Integrating Path traversal patterns and Association rules) model for ...
Yue-Shi Lee, Show-Jane Yen, Ghi-Hua Tu, Min-Chi Hs...
SIGMOD
2010
ACM
196views Database» more  SIGMOD 2010»
13 years 7 months ago
GAIA: graph classification using evolutionary computation
Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
Ning Jin, Calvin Young, Wei Wang
IQIS
2004
ACM
14 years 1 months ago
Mining for Patterns in Contradictory Data
Information integration is often faced with the problem that different data sources represent the same set of the real-world objects, but give conflicting values for specific prop...
Heiko Müller, Ulf Leser, Johann Christoph Fre...
AUSAI
2001
Springer
13 years 11 months ago
Further Pruning for Efficient Association Rule Discovery
The Apriori algorithm's frequent itemset approach has become the standard approach to discovering association rules. However, the computation requirements of the frequent item...
Songmao Zhang, Geoffrey I. Webb
ESWA
2007
127views more  ESWA 2007»
13 years 7 months ago
An anticipation model of potential customers' purchasing behavior based on clustering analysis and association rules analysis
This paper proposes an anticipation model of potential customers’ purchasing behavior. This model is inferred from past purchasing behavior of loyal customers and the web server...
Horng-Jinh Chang, Lun-Ping Hung, Chia-Ling Ho