کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
483912 702880 2011 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A Quantum Swarm Evolutionary Algorithm for mining association rules in large databases
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
A Quantum Swarm Evolutionary Algorithm for mining association rules in large databases
چکیده انگلیسی

Association rule mining aims to extract the correlation or causal structure existing between a set of frequent items or attributes in a database. These associations are represented by mean of rules. Association rule mining methods provide a robust but non-linear approach to find associations. The search for association rules is an NP-complete problem. The complexities mainly arise in exploiting huge number of database transactions and items. In this article we propose a new algorithm to extract the best rules in a reasonable time of execution but without assuring always the optimal solutions. The new derived algorithm is based on Quantum Swarm Evolutionary approach; it gives better results compared to genetic algorithms.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of King Saud University - Computer and Information Sciences - Volume 23, Issue 1, January 2011, Pages 1–6
نویسندگان
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