Publication Type

Journal Article

Version

publishedVersion

Publication Date

6-2009

Abstract

A sequential rule expresses a relationship between two series of events happening one after another. Sequential rules are potentially useful for analyzing data in sequential format, ranging from purchase histories, network logs and program execution traces. In this work, we investigate and propose a syntactic characterization of a non-redundant set of sequential rules built upon past work on compact set of representative patterns. A rule is redundant if it can be inferred from another rule having the same support and confidence. When using the set of mined rules as a composite filter, replacing a full set of rules with a non-redundant subset of the rules does not impact the accuracy of the filter. We consider several rule sets based on composition of various types of pattern sets – generators, projected-database generators, closed patterns and projected-database closed patterns. We investigate the completeness and tightness of these rule sets.

Keywords

Theoretical data mining, Frequent pattern mining, Sequential pattern mining, Sequential rules, Non-redundant rules

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

Information Systems

Volume

34

Issue

4/5

First Page

438

Last Page

453

ISSN

0306-4379

Identifier

10.1016/j.is.2009.01.002

Publisher

Elsevier

Copyright Owner and License

Publisher

Additional URL

https://doi.org/10.1016/j.is.2009.01.002

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