Constraint-Based Rule Mining in Large, Dense Databases
Constraint-Based Rule Mining in Large, Dense Databases
About this item
Full title
Author / Creator
Publisher
New York: Springer Nature B.V
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer Nature B.V
Subjects
More information
Scope and Contents
Contents
Constraint-based rule miners find all rules in a given data-set meeting user-specified constraints such as minimum support and confidence. We describe a new algorithm that directly exploits all user-specified constraints including minimum support, minimum confidence, and a new constraint that ensures every mined rule offers a predictive advantage o...
Alternative Titles
Full title
Constraint-Based Rule Mining in Large, Dense Databases
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_230128680
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_230128680
Other Identifiers
ISSN
1384-5810
E-ISSN
1573-756X
DOI
10.1023/A:1009895914772
