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DOI: 10.14569/IJACSA.2012.031220
PDF

Finding Association Rules through Efficient Knowledge Management Technique

Author 1: Anwar M. A.

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 12, 2012.

  • Abstract and Keywords
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Abstract: One of the recent research topics in databases is Data Mining, to find, extract and mine the useful information from databases. In case of updating transactions in the database the already discovered knowledge may become invalid. So we need efficient knowledge management techniques for finding the updated knowledge from the database. There have been lot of research in data mining, but Knowledge Management in databases is not studied much. One of the data mining techniques is to find association rules from databases. But most of association rule algorithms find association rules from transactional databases. Our research is a further step of the Tree Based Association Rule Mining (TBAR) algorithm, used in relational databases for finding the association rules .In our approach of updating the already discovered knowledge; the proposed algorithm Association Rule Update (ARU), updates the already discovered association rules found through the TBAR algorithm. Our algorithm will be able to find incremental association rules from relational databases and efficiently manage the previously found knowledge.

Keywords: Data Mining; Co-occurrences; Incremental association rules; Dynamic Databases.

Anwar M. A., “Finding Association Rules through Efficient Knowledge Management Technique ” International Journal of Advanced Computer Science and Applications(IJACSA), 3(12), 2012. http://dx.doi.org/10.14569/IJACSA.2012.031220

@article{A.2012,
title = {Finding Association Rules through Efficient Knowledge Management Technique },
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.031220},
url = {http://dx.doi.org/10.14569/IJACSA.2012.031220},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {12},
author = {Anwar M. A.}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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