Neural-based approaches for improving the accuracy of decision trees

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

Volumn 2454 LNCS, Issue , 2002, Pages 114-123

  Lee, Yue Shi ^a   Yen, Show Jane ^b  

^a MING CHUAN UNIVERSITY   (Taiwan)

^b FU JEN CATHOLIC UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA WAREHOUSES; DECISION TREES; LEARNING SYSTEMS; WAREHOUSES; ALGORITHMS; DATA MINING;

DECISION TREE LEARNING; DECISION TREE LEARNING ALGORITHM; NETWORK TECHNOLOGIES; NEURAL NETWORK MODEL; REAL CASE; REAL-WORLD;

LEARNING ALGORITHMS;

EID: 41149108320     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46145-0_12     Document Type: Conference Paper

References (5)

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2. Han J., Kamber M. (ed.): Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, (2000)
3. Chen, M.S.: Using Multiple Attribute for Mining Classification Rules. Proceedings of the 22nd Annual International Computer Software and Application Conference, (1998)
4. Kim D., Lee J.: Rule Reduction over Numerical Attributes in Decision Trees Using Multilayer Perceptron. Proceedings of the 5th Pacific Area Conference on Knowledge Discovery and Data Mining, (2001) 538-549
5. Kovalerchuk B., Vityaev E. (ed.): Data Mining In Finance: Advances in Relational and Hybrid Methods. Kluwer Academic Publishers, (2000)