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ICDE
1998
IEEE
187views Database» more  ICDE 1998»
14 years 10 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim
WWW
2004
ACM
14 years 9 months ago
On mining webclick streams for path traversal patterns
Mining user access patterns from a continuous stream of Web-clicks presents new challenges over traditional Web usage mining in a large static Web-click database. Modeling user ac...
Hua-Fu Li, Suh-Yin Lee, Man-Kwan Shan
ICDM
2003
IEEE
141views Data Mining» more  ICDM 2003»
14 years 2 months ago
Association Rule Mining in Peer-to-Peer Systems
We extend the problem of association rule mining – a key data mining problem – to systems in which the database is partitioned among a very large number of computers that are ...
Ran Wolff, Assaf Schuster
VLDB
2007
ACM
179views Database» more  VLDB 2007»
14 years 9 months ago
Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data
Market analysis is a representative data analysis process with many applications. In such an analysis, critical numerical measures, such as profit and sales, fluctuate over time a...
Xiaolei Li, Jiawei Han
SSD
2001
Springer
218views Database» more  SSD 2001»
14 years 1 months ago
Efficient Mining of Spatiotemporal Patterns
The problem of mining spatiotemporal patterns is finding sequences of events that occur frequently in spatiotemporal datasets. Spatiotemporal datasets store the evolution of object...
Ilias Tsoukatos, Dimitrios Gunopulos