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Journal article
Determining Approximate Functional Dependencies using Association Rule Mining
International Journal of Research in Computer Applications and Management (IJRCM), Vol.4(1), pp.10-17
01/2014
Abstract
Association rule mining is used to find relationships between items or itemsets in market basket or transactional data representations (Agrawal, et al. 1993). Statistical measures like support and confidence are used to measure the strength of these relationships (Agrawal and Srikant, 1994). In this paper we are trying to determine if these relationships are FD relationships as defined in relational representations.
Details
- Title
- Determining Approximate Functional Dependencies using Association Rule Mining
- Publication Details
- International Journal of Research in Computer Applications and Management (IJRCM), Vol.4(1), pp.10-17
- Resource Type
- Journal article
- Publisher
- IJRCM Journals of International Research; India
- Format
- link
- Identifiers
- 99380482995806600
- Academic Unit
- Hal Marcus College of Science and Engineering ; Computer Science
- Language
- English