Knowledge redundancy approach to reduce size in association rules
Knowledge redundancy approach to reduce size in association rules
About this item
Full title
Author / Creator
Publisher
Ljubljana: Slovenian Society Informatika / Slovensko drustvo Informatika
Journal title
Language
English
Formats
Publication information
Publisher
Ljubljana: Slovenian Society Informatika / Slovensko drustvo Informatika
Subjects
More information
Scope and Contents
Contents
Association Rules Mining is one of the most studied and widely applied helds in Data Mining. However, the discovered models usually result in a very large set of rules; so the analysis capability, from the user point of view, is diminishing. Hence, it is difficult to use the found model in order to assist in the decisionmaking process. The previous...
Alternative Titles
Full title
Knowledge redundancy approach to reduce size in association rules
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2428570256
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2428570256
Other Identifiers
ISSN
0350-5596
E-ISSN
1854-3871
DOI
10.31449/inf.v44i2.2839
