کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
395252 665943 2007 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Jumping emerging patterns with negation in transaction databases – Classification and discovery
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Jumping emerging patterns with negation in transaction databases – Classification and discovery
چکیده انگلیسی

This paper examines jumping emerging patterns with negation (JEPNs), i.e. JEPs that can contain negated items. We analyze the basic relations between these patterns and classical JEPs in transaction databases and local reducts from the rough set theory. JEPNs provide an interesting type of knowledge and can be successfully used for classification purposes. By analogy to JEP-Classifier, we consider negJEP-Classifier and JEPN-Classifier and compare their accuracy. The results are contrasted with changes in rule set complexity. In connection with the problem of JEPN discovery, JEP-Producer and rough set methods are examined.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 177, Issue 24, 15 December 2007, Pages 5675–5690
نویسندگان
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