Universiti Teknologi Malaysia Institutional Repository

Mining least relational patterns from multi relational tables

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


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
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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