Efficient parallel data mining for association rules
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
Scalable parallel data mining for association rules
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Parallel mining algorithms for generalized association rules with classification hierarchy
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
WebQuilt: a framework for capturing and visualizing the web experience
Proceedings of the 10th international conference on World Wide Web
Hash based parallel algorithms for mining association rules
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
SC '97 Proceedings of the 1997 ACM/IEEE conference on Supercomputing
Parallel Mining of Association Rules
IEEE Transactions on Knowledge and Data Engineering
Dynamic Load Balancing for Parallel Association Rule Mining on Heterogenous PC Cluster Systems
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
WUM - A Tool for WWW Ulitization Analysis
WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
Performance Analysis for Parallel Generalized Association Rule Mining on a Large Scale PC Cluster
Euro-Par '99 Proceedings of the 5th International Euro-Par Conference on Parallel Processing
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The emerging WWW poses new technological challenges for information processing. The scale of WWW is expected to keep growing as more devices, such as mobile phones and PDAs are equipped with the ability to access internet. Here we report the application of data mining techniques on large scale web data of a directory service for users of i-Mode, a major mobile phone internet access in Japan. We develop tool to visualize the behavior of web site visitors. We also report experiments on PC cluster as promising platform for large scale web mining. Parallel algorithms for generalized association rules are implemented on PC cluster with 100 PCs.