Rough set based decision tree model for classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2737, Issue , 2003, Pages 172-181

  Minz, Sonajharia ^a   Jain, Rajni ^a,b  

^a JAWAHARLAL NEHRU UNIVERSITY   (India)

^b NATIONAL CENTRE FOR AGRICULTURAL ECONOMICS AND POLICY RESEARCH   (India)

Author keywords

Classification; Data mining; Decision tree; Feature selection; Rough set; Supervised learning

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA MINING; DATA WAREHOUSES; DECISION TREES; FEATURE EXTRACTION; SEARCH ENGINES; SUPERVISED LEARNING; TREES (MATHEMATICS);

CLASSIFICATION MODELS; COMPUTATIONAL EFFORT; COMPUTATIONAL OVERHEADS; GREEDY ALGORITHMS; NOMINAL ATTRIBUTES; RULE COMPLEXITY; TOP DOWN APPROACHES; TRAINING DATA SETS;

ROUGH SET THEORY;

EID: 35248830347     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45228-7_18     Document Type: Article

References (12)

1. Bjorvand, A. T., Komorowski, J.: Practical Applications of Genetic Algorithms for Efficient Reduct Computation., Wissenschaft & Technik Verlag, 4 (1997) 601-606.
2. Grzymala-Busse, J. W., Stefanowski, Jerzy: Three Discretization Methods for Rule Induction. IJIS, 16(1) (2001) 29-38
3. Hall, Mark A., Holmes, G.: Benchmarking Attribute Selection Techniques for Discrete Class Data Mining. IEEE TKDE 20 (2002) 1-16
4. Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann, (2001), 279-325
5. Murthy, S.K.: Automatic Construction of decision trees from Data: A Multidisciplinary Survey. Data Mining and Knowledge Discovery 2 (1998) 345-389
6. Pawlak, Z.: Drawing Conclusions from Data-The Rough Set Way. IJIS, 16 (2001) 3-11
7. Quinlan, J. R.: C4.5: Programs for Machine Learning. Morgan Kauffman (1993)
8. ∼aleks/rosetta/.
9. Winston, P.H.: Artificial Intelligence. Addison-Wesley Third Edition (1992)
10. Wroblewski, J.: Finding Minimal Reduct Using Genetic Algorithms. Warsaw University of Technology- Institute of Computer Science- Reports - 16/95 (1995)
11. Ziarko, W.: Discovery through Rough Set Theory. Comm. of ACM, 42(11) (1999) 55-57
12. Ziarko, W.: Variable Precision Rough Set Model. Jr. of Computer and System Sciences, 46(1), Feb. (1993) 39-59b