Discretization and grouping: Preprocessing steps for data mining

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

Volumn 1510, Issue , 1998, Pages 239-245

  Berka, Petr ^a   Bruha, Ivan ^b  

^a UNIVERSITY OF ECONOMICS   (Czech Republic)

^b MCMASTER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; LEARNING ALGORITHMS; MACHINE LEARNING;

DECISION RULES; DISCRETIZATIONS; NOMINAL ATTRIBUTES; NUMBER OF CLASS; NUMERICAL ATTRIBUTES; OFF-LINE ALGORITHM; OFF-LINE PROCESSING; PRE-PROCESSING STEP;

DATA MINING;

EID: 84947806502     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0094825     Document Type: Conference Paper

References (10)

1. Berka, P, Bruha, I.: Various discretization procedures of numerical attributes: Empirical comparisons. In: (Kodratoff, Nakhaeizadeh, Taylor eds.) Proc. MLNet Familiarization Workshop on Statistics, Machine Learning and Knowledge Discovery in Databases, Herakleion, 1995, p.136-141.
2. Berka, P, Ivs Automated Knowledge Acquisition for PROSPECTOR-like Expert Systems. In. (Bergadano, deRaedt eds.) Proc. ECML'94, Springer 1994.
3. Berka, P, Sochorovg, M, Rauch, J.: Using GUHA and KEX for Knowledge Discovery in Databases; the KDD Sisyphus Experience. In Proc: Poster Session ECML'98, TU Chemnitz 1998.
4. Biggs, D, de Ville, B, Suen, E.: A method of choosing multiway partitions for classification and decision trees. Journal of Applied Statistics, Vol. 18, No. 1, 1991, 49-62.
5. Bruha, L., Kočková, S.: A covering learning algorithm for cost-sensitive and noisy environments. In: Proc. of ECML'93 Workshop on Learning Robots, 1993.
6. Catlett, J.: On changing continuous attributes into ordered discrete attributes. In: Y. Ko&'atoff, ed.: Machine Learning-EWSL-91, Springer-Verlag, 1991, 164-178.
7. Clark, P, Niblett, T.: The CN2 induction algorithm. Machine Learning, 3 (1989), 261-283
8. Fayyad, U.M, Irani, K.B.: Multi-Interval Discretization of Continuous-Valued Attributes for Classifiacation Learning. In: Proc. IJCAI'93, 1993.
9. Kietz, J.U, Reimer, U, Staudt, M.: Mining Insurance Data at Swiss Life. In: Proc. 23rd VLDB Conference, Athens, 1997.
10. Merz, C.J, Murphy, P.M.: UCI Repository of Machine Learning Databases. Irvine, University of California, Dept. of Information and Computer Science, 1997.