Rules in Relational Databases Jiawei Han, Yandong Cai, and Nick Cercone,...  Home/Search
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Abstract: A quantitative rule is a rule associated with quantitative information which assesses the representativehess of the rule in the database. In this paper, an efficient induction method is developed for learuing quantitative rules in relational databases. With the assistance of knowledge about concept hierarchies, data relevance, and expected rule forms, attribute-oriented induction can be performed on the database, which integrates database operations with the learuing process and provides a... (Update)
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BibTeX entry: (Update)
@misc{ relational-ieee,
author = "Rules In Relational",
title = "IEEE TRANSACTIONS ON KN(IWLEDGE AND DATA ENGINEERING, VOL. 5, NO. 1, FEBRUARY
1993 29 Data-Driven Discovery of Quantitative",
url = "citeseer.ist.psu.edu/570067.html" }
Citations (may not include all citations):48 Attribute-oriented induction in relational databases (context) - Cai, Cercone et al. - 1990
48 A comparative review of selected methods for learning from e.. (context) - Dietterich, Michalski - 1983
45 Foundations of semantic query optimization for deductive dat.. (context) - Chakravarthy, Grant et al. - 1988
21 A statistical technique for extracting classificatory knowle.. (context) - Chan, Wong - 1991
1 The Handbook of Artificial lntelligence (context) - Cohen, Feigenbaum - 1983
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