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Volumn , Issue , 2011, Pages 79-92

Induction of modular classification rules: Using Jmax-pruning

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; LARGE DATASET; PRISMS; TREES (MATHEMATICS);

EID: 84866494927     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-0-85729-130-1_6     Document Type: Conference Paper
Times cited : (10)

References (14)
  • 2
    • 0008779286 scopus 로고    scopus 로고
    • Automatic induction of classification rules from examples using N-Prism
    • Cambridge. Springer- Verlag
    • M A Bramer. Automatic induction of classification rules from examples using N-Prism. In Research and Development in Intelligent Systems XVI, pages 99-121, Cambridge, 2000. Springer-Verlag.
    • (2000) Research and Development in Intelligent Systems , vol.16 , pp. 99-121
    • Bramer, M.A.1
  • 3
    • 8844251019 scopus 로고    scopus 로고
    • An information-theoretic approach to the pre-pruning of classification rules
    • B Neumann M Musen and R Studer, editors Kluwer
    • M A Bramer. An information-theoretic approach to the pre-pruning of classification rules. In B Neumann M Musen and R Studer, editors, Intelligent Information Processing, pages 201-212. Kluwer, 2002.
    • (2002) Intelligent Information Processing , pp. 201-212
    • Bramer, M.A.1
  • 4
    • 31444437725 scopus 로고    scopus 로고
    • Inducer: A public domain workbench for data mining
    • M A Bramer. Inducer: A public domain workbench for data mining. International Journal of Systems Science, 36(14):909-919, 2005.
    • (2005) International Journal of Systems Science , vol.36 , Issue.14 , pp. 909-919
    • Bramer, M.A.1
  • 8
    • 0026995495 scopus 로고
    • Chimerge: Discretization of numeric attributes
    • R Kerber. Chimerge: Discretization of numeric attributes. In AAAI, pages 123-128, 1992.
    • (1992) AAAI , pp. 123-128
    • Kerber, R.1
  • 10
    • 0005685575 scopus 로고
    • C4.5: Programs for machine learning
    • R J Quinlan. C4.5: Programs for machine learning. Morgan Kaufmann, 1993.
    • (1993) Morgan Kaufmann
    • Quinlan, R.J.1
  • 11
    • 0026902042 scopus 로고
    • An information theoretic approach to rule induction from databases
    • P. Smyth and R M Goodman. An information theoretic approach to rule induction from databases. Transactions on Knowledge and Data Engineering, 4(4):301-316, 1992.
    • (1992) Transactions on Knowledge and Data Engineering , vol.4 , Issue.4 , pp. 301-316
    • Smyth, P.1    Goodman, R.M.2
  • 13
    • 70350240003 scopus 로고    scopus 로고
    • PMCRI a parallel modular classification rule induction framework
    • Springer
    • F T Stahl,MA Bramer, and MAdda. PMCRI: A parallel modular classification rule induction framework. In MLDM, pages 148-162. Springer, 2009.
    • (2009) MLDM , pp. 148-162
    • Stahl, F.T.1    Bramer, M.A.2    Adda, M.3
  • 14
    • 26444442807 scopus 로고    scopus 로고
    • Data mining practical machine learning tools and techniques with java implementations
    • I H Witten and F Eibe. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, 1999.
    • (1999) Morgan Kaufmann
    • Witten, I.H.1    Eibe, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.