P. Cohen and E. A. Feigenbaum, The Handbook of Artificial lntelligence (Vol. II1). San Francisco, CA: William Kaufmann, 1983. Home/Search Document Not in Database Summary Related Articles |
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IEEE TRANSACTIONS ON KN(IWLEDGE AND DATA ENGINEERING, VOL.. - Rules In Relational (Correct)
....TRANSACTIONS ON KN(IWLEDGE AND DATA ENGINEERING, VOL. 5, NO. 1, FEBRUARY 1993 29 Data Driven Discovery of Quantitative Rules in Relational Databases Jiawei Han, Yandong Cai, and Nick Cercone, Member, IEEE Abstract A quantitative rule is a rule associated with quantitative information which assesses the representativehess of the rule in the ....
....in part by the Natural Sciences and Research Council of Canada under Operating Grants A 3723 and A 4309 and by a research grant from the Centre for Systems Science, Simon Fraser University. The authors are with the School of Computing Science, Simon Fraser University, Burnaby, B.C. Canada V5A 1S6. IEEE Log Number 9205833. A. Concept Hierarchy The concept hierarchy provides valuable information for inductive learning [9] 18] By organizing different levels of concepts into a taxonomy, candidate rules can be restricted to formulas with a particular vocabulary (conceptual bias ....
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P. Cohen and E. A. Feigenbaum, The Handbook of Artificial lntelligence (Vol. II1). San Francisco, CA: William Kaufmann, 1983.
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