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Volumn 2168, Issue , 2001, Pages 128-139

Specifying mining algorithms with iterative user-defined aggregates: A case study

Author keywords

[No Author keywords available]

Indexed keywords

AGGREGATES; ITERATIVE METHODS; MODULAR CONSTRUCTION;

EID: 84943275997     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44794-6_11     Document Type: Conference Paper
Times cited : (5)

References (17)
  • 1
    • 23044518930 scopus 로고    scopus 로고
    • Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications
    • R. Agrawal, S. Sarawagi, and S. Thomas. Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications. Data Mining and Knowledge Discovery, 4(3):89–125, 2000.
    • (2000) Data Mining and Knowledge Discovery , vol.4 , Issue.3 , pp. 89-125
    • Agrawal, R.1    Sarawagi, S.2    Thomas, S.3
  • 3
    • 0040364310 scopus 로고    scopus 로고
    • Optimization of Queries with User-Defined Predicates
    • S. Chaudhuri and K. Shim. Optimization of Queries with User-Defined Predicates. ACM Transactions on Database Systems, 24(2):177–228, 1999.
    • (1999) ACM Transactions on Database Systems , vol.24 , Issue.2 , pp. 177-228
    • Chaudhuri, S.1    Shim, K.2
  • 12
    • 9444249299 scopus 로고    scopus 로고
    • Inductive databases and condensed representations for data mining
    • H. Mannila. Inductive databases and condensed representations for data mining. In International Logic Programming Symposium, pages 21–30, 1997.
    • (1997) International Logic Programming Symposium , pp. 21-30
    • Mannila, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.