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Volumn , Issue , 2003, Pages 437-444

Optimization of a language for data mining

Author keywords

Association rules; Constraints; Query optimization

Indexed keywords

ALGORITHMS; COMPUTER PROGRAMMING LANGUAGES; COMPUTER SCIENCE; CONSTRAINT THEORY; OPTIMIZATION; PROGRAM COMPILERS; QUERY LANGUAGES;

EID: 0038336924     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/952532.952619     Document Type: Conference Paper
Times cited : (16)

References (16)
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    • (2002) Technical Report RT 66/2002
    • Botta, M.1    Meo, R.2    Sapino, M.L.3
  • 3
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    • Maintenance of discovered association rules in large databases: An incremental updating technique
    • New Orleans, Louisiana, USA, February
    • V. Ng D. Cheung, J. Han and C.Y. Wong. Maintenance of discovered association rules in large databases: An incremental updating technique. In Proc. of 1996 Int'l Conf. on Data Engineering, New Orleans, Louisiana, USA, February 1996.
    • (1996) Proc. of 1996 Int'l Conf. on Data Engineering
    • Ng, V.1    Cheung, D.2    Han, J.3    Wong, C.Y.4
  • 5
    • 0030284618 scopus 로고    scopus 로고
    • A database perspective on knowledge discovery
    • November
    • T. Imielinski and H. Mannila. A database perspective on knowledge discovery. Communications of the ACM, 39(11):58-64, November 1996.
    • (1996) Communications of the ACM , vol.39 , Issue.11 , pp. 58-64
    • Imielinski, T.1    Mannila, H.2
  • 9
    • 21944442464 scopus 로고    scopus 로고
    • Levelwise search and borders of theories in knowledge discovery
    • November
    • H. Mannila and H. Toivonen. Levelwise search and borders of theories in knowledge discovery. Data Mining and Knowledge Discovery, 1(3):241-258, November 1997.
    • (1997) Data Mining and Knowledge Discovery , vol.1 , Issue.3 , pp. 241-258
    • Mannila, H.1    Toivonen, H.2
  • 10
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    • A new sql-like operator for mining association rules
    • Bombay, India, Sept.
    • R. Meo, G. Psaila, and S. Ceri. A new sql-like operator for mining association rules. In Proc. of the 22nd VLDB Conference, Bombay, India, Sept. 1996.
    • (1996) Proc. of the 22nd VLDB Conference
    • Meo, R.1    Psaila, G.2    Ceri, S.3
  • 11
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    • Exploratory mining and pruning optimizations of constrained association rules
    • Seattle, WA
    • R. Ng, L.V.S. Lakshmanan, J. Han, and A. Pang. Exploratory mining and pruning optimizations of constrained association rules. In Proc. ACM SIGMOD'98, pages 13-24, Seattle, WA, 1998.
    • (1998) Proc. ACM SIGMOD'98 , pp. 13-24
    • Ng, R.1    Lakshmanan, L.V.S.2    Han, J.3    Pang, A.4
  • 13
    • 0347087668 scopus 로고    scopus 로고
    • Optimization of constrained frequent set queries with 2-variable constraints
    • Philadelphia, PA
    • R. Ng, L.V.S. Lakshmanan, J. Han, and A. Pang. Optimization of constrained frequent set queries with 2-variable constraints. In Proc. ACM SIGMOD'99, pages 157-168, Philadelphia, PA, 1998.
    • (1998) Proc. ACM SIGMOD'99 , pp. 157-168
    • Ng, R.1    Lakshmanan, L.V.S.2    Han, J.3    Pang, A.4
  • 14
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    • Can we push more constraints into frequent pattern mining?
    • Boston, MA, August
    • J. Pei and J. Han. Can we push more constraints into frequent pattern mining? In Proc. of the Int'l Conf. on KDD, Boston, MA, August 2000.
    • (2000) Proc. of the Int'l Conf. on KDD
    • Pei, J.1    Han, J.2
  • 16
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    • On the complexity of mining quantitative association rules
    • J. Wijsen and R. Meersman. On the complexity of mining quantitative association rules. Data Mining and Knowledge Discovery, 2(3):263-281, 1998.
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    • Wijsen, J.1    Meersman, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.