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Volumn 62, Issue 3, 2006, Pages 175-198

On mining summaries by objective measures of interestingness

Author keywords

Association rules; Data mining; Diversity measures

Indexed keywords

DATABASE SYSTEMS; KNOWLEDGE BASED SYSTEMS; THEOREM PROVING;

EID: 33644977630     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-005-5066-8     Document Type: Article
Times cited : (12)

References (13)
  • 1
    • 0342498768 scopus 로고
    • Fast, incremental generalization and regeneralization for knowledge discovery from large databases
    • Melbourne, Florida
    • Carter, C. L., & Hamilton, H. J. (1995a). Fast, incremental generalization and regeneralization for knowledge discovery from large databases. In Proceedings of the Eighth Florida Artificial Intelligence Symposium. (pp. 319-323), Melbourne, Florida.
    • (1995) Proceedings of the Eighth Florida Artificial Intelligence Symposium , pp. 319-323
    • Carter, C.L.1    Hamilton, H.J.2
  • 7
    • 84942847271 scopus 로고    scopus 로고
    • Evaluation of interestingness measures for ranking discovered knowledge
    • Hilderman, R. J., & Hamilton, H. J. (2001). Evaluation of interestingness measures for ranking discovered knowledge. Lecture Notes in Computer Sciences, 2035, 247-259.
    • (2001) Lecture Notes in Computer Sciences , vol.2035 , pp. 247-259
    • Hilderman, R.J.1    Hamilton, H.J.2
  • 10
    • 0000006498 scopus 로고
    • Diversity and evenness: A unifying notation and its consequences
    • Hill, M. O. (1973). Diversity and evenness: A unifying notation and its consequences. Ecology, 54, 427-432.
    • (1973) Ecology , vol.54 , pp. 427-432
    • Hill, M.O.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.