Classification in marketing research by means of LEM2-generated rules

Studies in Classification, Data Analysis, and Knowledge Organization

Volumn , Issue , 2007, Pages 425-432

  Decker, Reinhold ^a   Kroll, Frank ^a  

^a BIELEFELD UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMMERCE; DATA HANDLING; IMAGE PROCESSING; INFORMATION ANALYSIS; ROUGH SET THEORY;

CLASSIFICATION TOOL; MARKETING RESEARCH; REAL-WORLD; VAGUENESS AND UNCERTAINTY;

MARKETING;

EID: 84859557251     PISSN: 14318814     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-70981-7_48     Document Type: Conference Paper

References (8)

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2. GRZYMALA-BUSSE, J.W. (1997): A New Version of the Rule Induction System LERS. Fundamenta Informaticae, 31, 1, 27-39.
3. GRZYMALA-BUSSE, J.W. (2003): MLEM2 - Discretization During Rule Induction. In: M.A. Klopotek, T.T. Wierzchon, and K. Trojanowski (Eds.): Intelligent Information Processing and Web Mining, Proceedings of the International IISPWM'03 Conference. Springer, Berlin, 499-508.
4. NGUYEN, S.H. (1999): Data Regularity Analysis and Applications in Data Mining. Ph.D. Thesis, Department of Mathematics, Computer Science and Mechanics, Warsaw University, Warsaw.
5. PAWLAK, Z. (1982): Rough Sets. International Journal of Computer and Information Sciences, 11, 5, 341-356.
6. PAWLAK, Z. (1991): Rough Sets: Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht.
7. WOJNARSKI, M. (2003): LTF-C: Architecture, Training Algorithm and Applications of New Neural Classifier. Fundamenta Informaticae, 54, 1, 89-105.
8. ZUPAN, B., BOHANEC, M. and DEMSAR, J. (1997): Machine Learning by Function Decomposition, In: D.H. Fisher (Ed.): Proceedings of the 14th International Conference on Machine Learning. Morgan Kaufmann Publishers, Nashville, 421-429.