Parallel and Distributed Association Mining: A Survey
IEEE Concurrency
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Efficient Mining of Association Rules in Distributed Databases
IEEE Transactions on Knowledge and Data Engineering
An Architecture for Distributed Enterprise Data Mining
HPCN Europe '99 Proceedings of the 7th International Conference on High-Performance Computing and Networking
PaDDMAS: Parallel and Distributed Data Mining Application Suite
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
APHID: An architecture for private, high-performance integrated data mining
Future Generation Computer Systems
A new parallel association rule mining algorithm on distributed shared memory system
International Journal of Business Intelligence and Data Mining
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Data mining offers tools for the discovery of relationship, patterns and knowledge from a massive database in order to guide decisions about future activities. Applications from various domains have adopted this technique to perform data analysis efficiently. Several issues need to be addressed when such techniques apply on data these are bulk at size and geographically distributed at various sites. In this paper we describe system architecture for a scalable and a portable distributed data mining application. The system contains modules for secure distributed communication, database connectivity, organized data management and efficient data analysis for generating a global mining model. Performance evaluation of the system is also carried out and presented.