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Volumn 3, Issue , 2010, Pages 1940-1947

Choosing the right data mining technique: Classification of methods and intelligent recommendation

Author keywords

Case base reasoning; Data mining; Intelligent decision support systems; Knowledge discovery from databases

Indexed keywords

BACKGROUND KNOWLEDGE; CASE-BASE REASONINGS; COMMERCIAL SOFTWARE TOOLS; CONCEPTUAL MAPS; CONCRETE DOMAINS; DATA MINING METHODS; DATA MINING PROCESS; DATA MINING TECHNIQUES; ENVIRONMENTAL SCIENTISTS; INTELLIGENT ASSISTANCES; INTELLIGENT DATA; INTELLIGENT DECISION SUPPORT SYSTEMS; KNOWLEDGE DISCOVERY FROM DATABASES; SELECTION PROCESS;

EID: 84858650215     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (18)
  • 1
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  • 3
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    • Ontology-guided intelligent data mining assistance: Combining declarative and procedural knowledge
    • Charest, M and S. Delisle: Ontology-guided intelligent data mining assistance: Combining declarative and procedural knowledge. Artificial Intelligence and Soft Computing 2006: 9-14
    • (2006) Artificial Intelligence and Soft Computing , pp. 9-14
    • Charest, M.1    Delisle, S.2
  • 6
    • 72749088442 scopus 로고    scopus 로고
    • The role of KDD support-interpretation tools in the conceptualization of medical profiles: An application to neurorehabilitation
    • Gibert K, A. García-Rudolph, G. Rodríguez-Silva 2008: The role of KDD Support-Interpretation tools in the conceptualization of medical profiles: An application to neurorehabilitation. Acta Informatica Medica 16(4) 178-182
    • (2008) Acta Informatica Medica , vol.16 , Issue.4 , pp. 178-182
    • Gibert, K.1    García-Rudolph, A.2    Rodríguez-Silva, G.3
  • 8
    • 51449090803 scopus 로고    scopus 로고
    • Data mining for environmental systems
    • State of the art and New Perspectives. IDEA Series v3 (Jackeman, A. J., Voinov, A., Rizzoli, A., and Chen, S. eds) Elsevier NL
    • Gibert K, J. Spate, M. Sànchez-Marrè, I. Athanasiadis, J. Comas (2008b): Data Mining for Environmental Systems. In Environmental Modeling, Software and Decision Support. State of the art and New Perspectives. IDEA Series v3 (Jackeman, A. J., Voinov, A., Rizzoli, A., and Chen, S. eds), pp 205-228. Elsevier NL.
    • (2008) Environmental Modeling, Software and Decision Support , pp. 205-228
    • Gibert, K.1    Spate, J.2    Sànchez-Marrè, M.3    Athanasiadis, I.4    Comas, J.5
  • 10
    • 84858645587 scopus 로고    scopus 로고
    • Review of data mining: Concepts, models, methods, and algorithms
    • Mehmed Kantardzic (2003): Review of Data Mining: Concepts, Models, Methods, and Algorithms. Technometrics vol. 45, no. 3, p. 277-277
    • (2003) Technometrics , vol.45 , Issue.3 , pp. 277-277
    • Kantardzic, M.1
  • 11
    • 84858646448 scopus 로고    scopus 로고
    • (Apr 2006)
    • Kdnuggets (2006): http://www.kdnuggets.com/polls/2006/data-mining- methods.htm. Data Mining Methods (Apr 2006)
    • (2006) Data Mining Methods
  • 12
    • 0003602869 scopus 로고
    • Morgan Kaufmann Publishers, San Mateo, CA
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    • (1993) Case-based Reasoning
    • Kolodner, J.1
  • 14
    • 85017355166 scopus 로고    scopus 로고
    • Instance-based learning techniques of unsupervised feature weighting do not perform so badly!
    • IOS Press
    • Núñez, H. and Sànchez-Marrè, M. (2004). Instance-based Learning Techniques of Unsupervised Feature Weighting do not perform so badly! In Procs 16th ECAI'2004, pp. 102-106. IOS Press.
    • (2004) Procs 16th ECAI'2004 , pp. 102-106
    • Núñez, H.1    Sànchez-Marrè, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.