A grid-based distributed SVM data mining algorithm

European Journal of Scientific Research

Volumn 27, Issue 3, 2009, Pages 313-321

  Meligy, Ali ^a   Al Khatib, Manar ^a  

^a MIDDLE EAST UNIVERSITY   (Jordan)

Author keywords

Data mining; Distributed computing; SVM Algorithm

Indexed keywords

EID: 65349099567     PISSN: 1450216X     EISSN: 1450202X     Source Type: Journal    
DOI: None     Document Type: Article

References (14)

1. Ricardo Baeze-Yates and Berthier Ribeiro-Neto Modern Information retrieval Addison Wesley; 1st edition, 1999
2. Chris Clifton Privacy Preserving Distributed Data Mining ACM SIGKDD Explorations, 4(2), December 2002.
3. Inderjit S. Dhillon, Subramanyam Mallela, Rahul Kumar Enhanced Word Clustering for Hierarchical Text Classification, Department of Computer Sciences, University of Texas at Austin, 2002.
4. David Hand, Heikki Mannila and Padhraic Smyth Principles of data mining. The MIT Press; 1 edition, 2001
5. th IEEE International Conference on Computer Science, Research, Innovation and Vision for the Future, Ho Chi Minh, Vietnam, 2006, pp. 59-66.
6. Ivan Janciak, Martin Sarnovsky, A Min Tjoa, and Peter Brezany. Distributed Classification of Textual Documents on the Grid LECTURE NOTES IN COMPUTER SCIENCE, NUMB 4208, pages 710-718, 2006.
7. Ali Meligy Parallel Computer Graphics Dar Elnahda, Cairo, Egypt, June 2006
8. Isabelle Moulinier Feature Selection: A Useful Preprocessing Step. In Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research, pp. 140-158, 1997.
9. Roosta, S. Parallel processing and Parallel Algorithm , Springer Verlage, 2000.
10. Domenico Talia Grid-based Distributed Data Mining Systems, Algorithms and services. Proc. Workshop HPDM 2006 at the SIAM Data Mining Conference, Bethesda, USA, April 2006.
11. Pang-Ning Tan, M. Steinbach, and V. Kumar Data Mining Addison Wesley, London, 2006.
12. Simon Tong, Daphne Koller Support Vector Machine Active Learning with Applications to Text Classification, Proceedings of ICML-00, 17th International Conference on Machine Learning, 2001.
13. Shu-Tzu Tsai and Chao-Tung Yang, Decision Tree Construction for Data Mining on Grid Computing, Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04) 0-7695-2073-1/04© 2004 IEEE
14. Ian H. Witten & Eibe Frank Data Mining practical machine learning tools and techniques Morgan Kaufmann Publishers San Francisco, California, 2000. (pp. 148--155). New York: ACM Press.