Normalization as a Preprocessing Engine for Data Mining and the Approach of Preference Matrix

Proceedings of International Conference on Dependability of Computer Systems, DepCoS-RELCOMEX 2006

Volumn , Issue , 2006, Pages 207-214

  Al Shalabi, Luai ^a   Shaaban, Zyad ^a  

^a APPLIED SCIENCE PRIVATE UNIVERSITY   (Jordan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; LEARNING SYSTEMS;

DATA SETS; NORMALIZATION; PREFERENCE MATRIX;

DATA MINING;

EID: 34848849032     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEPCOS-RELCOMEX.2006.38     Document Type: Conference Paper

References (10)

1. A. E. Hassanien, "Classification and Feature Selection of Breast Cancer Data Based on Decision Tree Algorithm", International Journal of Studies in Informatics and Control Journal, vol. 12, No. 1, 2003, pp. 33-39.
2. C.J. Mertz, and P.M. Murphy, "UCI Repository of Machine Learning Databases, http://www.ics.uci.edu/~mlearn/MLRepository.html", University of California, 1996.
3. G. Gora, A. Wojna, "RIONA: A New Classification System Combining Rule Induction and Instance-Based Learning", Fundamenta Informaticae, vol. 51, No. 4, pp. 369-390.
4. G. Gora, A. Wojna, "RIONA: A Classifier Combining Rule Induction and k-NN Method with Automated Selection of Optimal Neighbourhood", Proceedings of the Thirteenth European Conference on Machine Learning, ECML, Helsinki, Finland, Lecture Notes in Artificial Intelligence, 430 Springer-Verlag, 2002, pp. 111-123.
5. J. Bazan, H. S. Nguyen, S. H. Nguyen, P. Synak, and J. Wroblewski, "Roughset algorithms in classification problem",In L. Polkowski, S. Tsumoto, and T. Lin, editors," Rough Set Methods and Applications", Physica-Verlag, Heidelberg New York, pp. 49-88.
6. J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, USA, 2001.
7. J. R. Quinlan, "Induction of Decision Trees", In Machine Learning, Kluwer Academic Publishers, vol. 1, 1986, pp. 81-106.
8. K. Cios, W. Pedrycz, and R. Swiniarski, "Data Mining Methods for Knowledge Discovery", Kluwer Academic Publishers, 1998.
9. L. Al-Shalabi, "Coding and Normalization: The Effect of Accuracy, Simplicity, and training time", RCED'05, Al-Hussain Bin Talal University, 2006, Accepted.
10. M. Wojnarski, "LTF-C: Architecture, Training Algorithm and Applications of New Neural Classifier", Fundamenta Mormaticae, vol. 54, No. 1, IOS Press, 2003, pp. 89-105.