Selamat, Siti Hairulnita and Mat Deris, Mustafa and Mamat, Rabiei and Bakar, Zuriana Abu (2005) Mining least relational patterns from multi relational tables. In: Lecture Notes in Computer Science(including subseries Lecture Notes in Artificial Intelligent and Lecture Notes in Bioinformatics) .
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Official URL: http://dx.doi.org/10.1007/b11111
Abstract
Existing mining association rules in relational tables only focus on discovering the relationship among large data items in a database. However, association rule for significant rare items that appear infrequently in a database but are highly related with other items is yet to be discovered. In this paper, we propose an algorithm called Extraction Least Pattern (ELP) algorithm that using a couple of predefined minimum support thresholds. Results from the implementation reveal that the algorithm is capable of mining rare item in multi relational tables.
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Computer Science and Information System |
ID Code: | 7809 |
Deposited By: | Maznira Sylvia Azra Mansor |
Deposited On: | 23 Jan 2009 01:35 |
Last Modified: | 30 Aug 2017 04:54 |
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