Abstract: The problem of discovering association rules in large databases has received considerable research attention. Much research has examined the exhaustive discovery of all a...
On-Line Analytical Processing techniques are used for data analysis and decision support systems. The multidimensionality of the underlying data is well represented by multidimens...
The activity of reengineering and maintaining large legacy systems involves the use of design recovery es to produce abstractions that facilitate the understanding of the system. ...
Inspired with Version Space learning, the Iterated Version Space Algorithm (IVSA) has been designed and implemented to learn disjunctive concepts. IVSA dynamically partitions its s...
Abstract. A generalized decision logic in interval-set-valued information tables is introduced, which is an extension of decision logic studied by Pawlak. Each object in an interva...
: In real-life data, in general, many attribute values are missing. Therefore, rule induction requires preprocessing, where missing attribute values are replaced by appropriate val...
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse,...
Lately, many approaches have been developed to discover computer abuse. Some of them use data mining techniques to discover anomalous behavior in audit trail, considering this beh...
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...