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Volumn 35, Issue 1, 1999, Pages 25-39

Concept learning and feature selection based on square-error clustering

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ERROR CORRECTION; MATHEMATICAL TRANSFORMATIONS;

EID: 0032639655     PISSN: 08856125     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1007567018844     Document Type: Article
Times cited : (44)

References (21)
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    • (1995) Learning from Data: AI and Statistics
    • Aha, D.W.1    Bankert, R.L.2
  • 3
    • 0002433547 scopus 로고    scopus 로고
    • From data mining to knowledge discovery: An overview
    • U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy (Eds.), AAAI Press/The MIT Press: Menlo Park, CA
    • Fayyad, U.M., Piatetsky-Shapiro, G., & Smyth P. (1996). From data mining to knowledge discovery: An overview. In U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy (Eds.), Advances in Knowledge Discovery and Data Mining. AAAI Press/The MIT Press: Menlo Park, CA.
    • (1996) Advances in Knowledge Discovery and Data Mining
    • Fayyad, U.M.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 4
    • 0029678997 scopus 로고    scopus 로고
    • Iterative optimization and simplification of hierarchical clusterings
    • Fisher, D. (1996). Iterative optimization and simplification of hierarchical clusterings. Journal of Artificial Intelligence Research, 4: 147-180.
    • (1996) Journal of Artificial Intelligence Research , vol.4 , pp. 147-180
    • Fisher, D.1
  • 11
    • 84974201823 scopus 로고
    • A machine learning approach to the automatic synthesis of mechanistic knowledge for engineering decision making
    • Lu, S.C., & Chen, K. (1987). A machine learning approach to the automatic synthesis of mechanistic knowledge for engineering decision making. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 1: 109-118.
    • (1987) Artificial Intelligence for Engineering Design, Analysis and Manufacturing , vol.1 , pp. 109-118
    • Lu, S.C.1    Chen, K.2
  • 16
    • 84904779621 scopus 로고
    • Method of principal cluster analysis
    • Mirkin, B.G. (1987). Method of principal cluster analysis. Automation and Remote Control, 48(10): 1379-1386.
    • (1987) Automation and Remote Control , vol.48 , Issue.10 , pp. 1379-1386
    • Mirkin, B.G.1
  • 17
    • 0001090009 scopus 로고
    • A sequential fitting procedure for linear data analysis models
    • Mirkin, B.G. (1990). A sequential fitting procedure for linear data analysis models. Journal of Classification, 7: 167-195.
    • (1990) Journal of Classification , vol.7 , pp. 167-195
    • Mirkin, B.G.1
  • 18
    • 0025389210 scopus 로고
    • Boolean feature discovery in empirical learning
    • Pagallo, G., & Haussler, D. (1990). Boolean feature discovery in empirical learning. Machine Learning, 5: 71-99.
    • (1990) Machine Learning , vol.5 , pp. 71-99
    • Pagallo, G.1    Haussler, D.2
  • 19
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan, J.R. (1986). Induction of decision trees. Machine Learning, 1: 81-106.
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.R.1
  • 21
    • 0000599779 scopus 로고
    • Hypothesis-driven constructive induction in AQ17-HCI: A method and experiments
    • Wnek, J., & Michalski, R.S. (1994). Hypothesis-driven constructive induction in AQ17-HCI: A method and experiments. Machine Learning, 14: 139-168.
    • (1994) Machine Learning , vol.14 , pp. 139-168
    • Wnek, J.1    Michalski, R.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.