کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
395386 665956 2008 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A discretization algorithm based on Class-Attribute Contingency Coefficient
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A discretization algorithm based on Class-Attribute Contingency Coefficient
چکیده انگلیسی

Discretization algorithms have played an important role in data mining and knowledge discovery. They not only produce a concise summarization of continuous attributes to help the experts understand the data more easily, but also make learning more accurate and faster. In this paper, we propose a static, global, incremental, supervised and top-down discretization algorithm based on Class-Attribute Contingency Coefficient. Empirical evaluation of seven discretization algorithms on 13 real datasets and four artificial datasets showed that the proposed algorithm could generate a better discretization scheme that improved the accuracy of classification. As to the execution time of discretization, the number of generated rules, and the training time of C5.0, our approach also achieved promising results.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 178, Issue 3, 1 February 2008, Pages 714–731
نویسندگان
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