کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
384503 660848 2009 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evolutionary-based feature selection approaches with new criteria for data mining: A case study of credit approval data
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Evolutionary-based feature selection approaches with new criteria for data mining: A case study of credit approval data
چکیده انگلیسی

In this paper, the feature selection problem was formulated as a multi-objective optimization problem, and new criteria were proposed to fulfill the goal. Foremost, data were pre-processed with missing value replacement scheme, re-sampling procedure, data type transformation procedure, and min-max normalization procedure. After that a wide variety of classifiers and feature selection methods were conducted and evaluated. Finally, the paper presented comprehensive experiments to show the relative performance of the classification tasks. The experimental results revealed the success of proposed methods in credit approval data. In addition, the numeric results also provide guides in selection of feature selection methods and classifiers in the knowledge discovery process.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 36, Issue 3, Part 2, April 2009, Pages 5900–5908
نویسندگان
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