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Volumn 15, Issue 2, 2000, Pages 175-200

Efficient rule-based attribute-oriented induction for data mining

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; COMPUTER SYSTEMS PROGRAMMING; KNOWLEDGE ACQUISITION; KNOWLEDGE BASED SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; RELATIONAL DATABASE SYSTEMS; RESPONSE TIME (COMPUTER SYSTEMS);

EID: 0034275407     PISSN: 09259902     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008778107391     Document Type: Article
Times cited : (25)

References (28)
  • 6
    • 0344811122 scopus 로고    scopus 로고
    • An Overview of Data Warehousing and OLAP Technology
    • Chaudhuri, S. and Dayal, U. (1997). An Overview of Data Warehousing and OLAP Technology. ACM-SIGMOD Record, 26(1), P.65-P.74.
    • (1997) ACM-SIGMOD Record , vol.26 , Issue.1 , pp. P65-P74
    • Chaudhuri, S.1    Dayal, U.2
  • 7
    • 0008540503 scopus 로고
    • Knowledge Discovery in Databases: A Rule-Based Attribute-Oriented Approach
    • Charlotte, North Carolina
    • Cheung, D.W., Fu, A.W., and Man, J. (1994). Knowledge Discovery in Databases: A Rule-Based Attribute-Oriented Approach. In Proc. 1994 Int. Symp. on Methodologies for Intelligent Systems, Charlotte, North Carolina (pp. 164-173).
    • (1994) Proc. 1994 Int. Symp. on Methodologies for Intelligent Systems , pp. 164-173
    • Cheung, D.W.1    Fu, A.W.2    Man, J.3
  • 9
    • 0029733589 scopus 로고    scopus 로고
    • Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique
    • New Orleans, Louisiana
    • Cheung, D.W., Han, J., Ng, V.T., and Wong, C.Y. (1996b). Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique. In Proc. 1996 IEEE Int. Conf. on Data Engineering, New Orleans, Louisiana.
    • (1996) Proc. 1996 IEEE Int. Conf. on Data Engineering
    • Cheung, D.W.1    Han, J.2    Ng, V.T.3    Wong, C.Y.4
  • 11
    • 0003218928 scopus 로고
    • Improving Inference through Conceptual Clustering
    • Seattle, Washington
    • Fisher, D. (1987). Improving Inference through Conceptual Clustering. In Proc. 1987 AAAI Conf., Seattle, Washington (pp. 461-465)
    • (1987) Proc. 1987 AAAI Conf. , pp. 461-465
    • Fisher, D.1
  • 12
    • 0004021178 scopus 로고
    • Knowledge Discovery in Databases: An Overview
    • G. Piatetsky-Shapiro and W.J. Frawley (Eds.), AAAI/MIT Press
    • Frawley, W.J., Piatetsky-Shapiro, G., and Matheus, C.J. (1991). Knowledge Discovery in Databases: An Overview. In G. Piatetsky-Shapiro and W.J. Frawley (Eds.), Knowledge Discovery in Databases (pp. 1-27). AAAI/MIT Press.
    • (1991) Knowledge Discovery in Databases , pp. 1-27
    • Frawley, W.J.1    Piatetsky-Shapiro, G.2    Matheus, C.J.3
  • 13
    • 0021444827 scopus 로고
    • Logic and Databases: A Deductive Approach
    • Gallaire, H., Minker, J., and Nicolas, J. (1984). Logic and Databases: A Deductive Approach. ACM Comput. Surv., 16, 153-185.
    • (1984) ACM Comput. Surv. , vol.16 , pp. 153-185
    • Gallaire, H.1    Minker, J.2    Nicolas, J.3
  • 15
    • 0002738566 scopus 로고
    • Knowledge Discovery in Databases: An Attribute-Oriented Approach
    • Vancouver, Canada
    • Han, J., Cai, Y., and Cercone, N. (1992). Knowledge Discovery in Databases: An Attribute-Oriented Approach. In Proc. 18th Int. Conf. Very Large Data Bases, Vancouver, Canada (pp. 547-559).
    • (1992) Proc. 18th Int. Conf. Very Large Data Bases , pp. 547-559
    • Han, J.1    Cai, Y.2    Cercone, N.3
  • 16
    • 0027542839 scopus 로고
    • Data-Driven Discovery of Quantitative Rules in Relational Databases
    • Han, J., Cai, Y., and Cercone, N. (1993). Data-Driven Discovery of Quantitative Rules in Relational Databases. IEEE Trans. Knowledge and Data Engineering, 5, 29-40.
    • (1993) IEEE Trans. Knowledge and Data Engineering , vol.5 , pp. 29-40
    • Han, J.1    Cai, Y.2    Cercone, N.3
  • 17
    • 0002401815 scopus 로고
    • Discovery of Multiple-Level Association Rules from Large Databases
    • Zurich, Switzerland
    • Han, J. and Fu, Y (1995a). Discovery of Multiple-Level Association Rules from Large Databases. In Proc. 1995 Int. Conf. Very Large Data Bases, Zurich, Switzerland (pp. 420-431).
    • (1995) Proc. 1995 Int. Conf. Very Large Data Bases , pp. 420-431
    • Han, J.1    Fu, Y.2
  • 18
    • 0002479811 scopus 로고
    • Exploration of the Power of Attribute-Oriented Induction in Data Mining
    • U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy (Eds.), AAAI/MIT Press
    • Han, J. and Fu, Y (1995b). Exploration of the Power of Attribute-Oriented Induction in Data Mining. In U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy (Eds.), Advances in Knowledge Discovery and Data Mining (pp. 399-421). AAAI/MIT Press.
    • (1995) Advances in Knowledge Discovery and Data Mining , pp. 399-421
    • Han, J.1    Fu, Y.2
  • 21
    • 0342455323 scopus 로고
    • Learning Conjuctive Concepts in Structural Domains
    • Seattle, Washington
    • Haussler, D. (1987). Learning Conjuctive Concepts in Structural Domains. In Proc. 1987 AAAI Conf., Seattle, Washington (pp. 466-470).
    • (1987) Proc. 1987 AAAI Conf. , pp. 466-470
    • Haussler, D.1
  • 23
    • 0006440962 scopus 로고
    • Mining for Knowledge in Databases: Goals and General Description of the INLEN System
    • G. Piatetsky-Shapiro and W.J. Frawley (Eds.), AAAI/MIT Press
    • Kaufman, K.A., Michalski, R.S., and Kerschberg, L. (1991). Mining for Knowledge in Databases: Goals and General Description of the INLEN System. In G. Piatetsky-Shapiro and W.J. Frawley (Eds.), Knowledge Discovery in Databases (pp. 449-462). AAAI/MIT Press.
    • (1991) Knowledge Discovery in Databases , pp. 449-462
    • Kaufman, K.A.1    Michalski, R.S.2    Kerschberg, L.3
  • 24
    • 0003046840 scopus 로고
    • A Theory and Methodology of Inductive Learning
    • Michalski et al. (Eds.), Morgan Kaufmann
    • Michalski, R.S. (1983). A Theory and Methodology of Inductive Learning. In Michalski et al. (Eds.), Machine Learning: An Artificial Intelligence Approach, Vol. 1 (pp. 83-134). Morgan Kaufmann.
    • (1983) Machine Learning: an Artificial Intelligence Approach , vol.1 , pp. 83-134
    • Michalski, R.S.1
  • 28
    • 0002856251 scopus 로고
    • Interactive Mining of Regularities in Databases
    • G. Piatetsky-Shapiro and W.J. Frawley (Eds.), AAAI/MIT Press
    • Zytkow, J. and Baker, J. (1991). Interactive Mining of Regularities in Databases. In G. Piatetsky-Shapiro and W.J. Frawley (Eds.), Knowledge Discovery in Databases (pp. 31-54). AAAI/MIT Press.
    • (1991) Knowledge Discovery in Databases , pp. 31-54
    • Zytkow, J.1    Baker, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.