Selamat, Siti Hairulnita and Deris, Mustafa Mat 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
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)|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Computer Science and Information System|
|Deposited By:||Maznira Sylvia Azra Mansor|
|Deposited On:||23 Jan 2009 01:35|
|Last Modified:||02 Jun 2010 01:48|
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