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IIS
2001
13 years 6 months ago
Discovering Multi-head Attributional Rules in Large Databases
: A method for discovering multi-head attributional rules in large databases is presented and illustrated by results from an implemented program. Attributional rules (a.k.a. attrib...
Jerzy Clowinski, Ryszard S. Michalski
KES
2004
Springer
13 years 10 months ago
FIT: A Fast Algorithm for Discovering Frequent Itemsets in Large Databases
Association rule mining is an important data mining problem that has been studied extensively. In this paper, a simple but Fast algorithm for Intersecting attribute lists using a ...
Jun Luo, Sanguthevar Rajasekaran
EDBT
2000
ACM
13 years 8 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
FQAS
2000
Springer
80views Database» more  FQAS 2000»
13 years 8 months ago
A Knowledge Scout for Discovering Medical Patterns: Methodology and System SCAMP
Knowledge scouts are software agents that autonomously synthesize knowledge of interest to a given user (target knowledge) by applying inductive database operators to a local or di...
Kenneth A. Kaufman, Ryszard S. Michalski
DEXAW
2000
IEEE
112views Database» more  DEXAW 2000»
13 years 9 months ago
An Experiment in Discovering Association Rules in the Legal Domain
In this paper we explore the applicability of an algorithm designed for finding association rules in large databases to the discovery of relevant associations from a large case ba...
Trevor J. M. Bench-Capon, Frans Coenen, Paul H. Le...