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Volumn 262, Issue , 2010, Pages 299-319

Partition measures for data mining

Author keywords

Clustering; Concept hierarchy; Data mining; Granular computing; Partitioning

Indexed keywords


EID: 74049164806     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-05177-7_15     Document Type: Article
Times cited : (2)

References (11)
  • 1
    • 0003046842 scopus 로고
    • Learning from observation: Conceptual clustering
    • Michalski, R.S., Carbonell, J.G., Mitchell, T.M. (eds.) Morgan Kaufmann, San Mateo
    • Michalski, R.S., Stepp, R.E.: Learning from observation: Conceptual clustering. In: Michalski, R.S., Carbonell, J.G., Mitchell, T.M. (eds.) Machine Learning: An Artificial Intelligence Approach. Morgan Kaufmann, San Mateo (1983)
    • (1983) Machine Learning: An Artificial Intelligence Approach
    • Michalski, R.S.1    Stepp, R.E.2
  • 5
    • 49649152119 scopus 로고
    • Similarity relations and fuzzy orderings
    • Zadeh, L.A.: Similarity relations and fuzzy orderings. Information Sciences 3, 177-200 (1971)
    • (1971) Information Sciences , vol.3 , pp. 177-200
    • Zadeh, L.A.1
  • 10
    • 39749093168 scopus 로고
    • The magical number seven, plus or minus two: Some limitations on our capacity for processing information
    • Miller, G.A.: The magical number seven, plus or minus two: Some limitations on our capacity for processing information. Psychological Review 63, 81-97 (1956)
    • (1956) Psychological Review , vol.63 , pp. 81-97
    • Miller, G.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.