کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
403247 677072 2006 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Novel measurement for mining effective association rules
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Novel measurement for mining effective association rules
چکیده انگلیسی

Mining association rules are widely studied in data mining society. In this paper, we analyze the measure method of support–confidence framework for mining association rules, from which we find it tends to mine many redundant or unrelated rules besides the interesting ones. In order to ameliorate the criterion, we propose a new method of match as the substitution of confidence. We analyze in detail the property of the proposed measurement. Experimental results show that the generated rules by the improved method reveal high correlation between the antecedent and the consequent when the rules were compared with that produced by the support–confidence framework. Furthermore, the improved method decreases the generation of redundant rules.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 19, Issue 8, December 2006, Pages 739–743
نویسندگان
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