Object
Title: Cube-Split technique in quantitative association rule mining
Co-author(s) :
Abstract:
In this paper we consider association rules mining in tables with quantitative attributes. The chain split technique of finding frequent itemsets, known in Boolean association rule mining domain, is extended to the “cube-split” technique being used for finding frequent itemsets for the case of specific quantitative attributes.
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Identifier:
oai:noad.sci.am:135905
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Journal or Publication Title:
Information Theories and Applications
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Additional Information:
hsahakyan@sci.am ; lasl@sci.am
Affiliation:
Institute for Informatics and Automation Problems
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Object collections:
- Digital Library > Academic Insitutions > Insitute for Informatics and Automation Problems of NAS RA > Publications
Last modified:
Mar 3, 2021
In our library since:
Jul 27, 2020
Number of object content hits:
15
All available object's versions:
https://noad.sci.am/publication/149498
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| Edition name | Date |
|---|---|
| Levon Aslanyan, CUBE-SPLIT TECHNIQUE IN QUANTITATIVE ASSOCIATION RULE MINING | Mar 3, 2021 |
