A Data Mining Architecture for Distributed Environments

Author:

Ashrafi Mafruz Zaman,Taniar David,Smith Kate

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. David W. Cheung, Vincent T. Ng, Ada W. Fu, and Yongjian fu “Efficient Mining of Association rules in Distributed Databases”. IEEE Transaction on Knowledge and Data Mining, Vol. 8, No 6, December 1996.

2. Chen M.S., Han J., and Yu P.S. “Data mining: An overview from a database perspective”. IEEE Transactions on Knowledge and Data Engineering, Vol 8, No 6, pages 866–883, 1996.

3. Stolfo S.J., Prodromidis A.L., Tselepis S., Lee W., Fan D.W., and Chan P.K. “Jam: Java agents for meta-learning over distributed databases”. Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining, pages 74–81, Newport Beach, CA, August 1997. AAAI Press.

4. Bailey S.M., Grossman R. L., Sivakumar H., and Turinsky A.L., “Papyrus: A System for Data Mining over Local and Wide Area Clusters and Super-Clusters”. Technical report, University of Illinois at Chicago.

5. Rana O., Walker D., Li M., Lynden S., and Ward M.,”PaDDMAS: Parallel and Distributed Data Mining Application Suit”. Proceedings of the Fourteenth International Parallel and Distributed Processing Symposium pages 387–392.

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