سیویلیکا را در شبکه های اجتماعی دنبال نمایید.

BeeMiner: A Novel Artificial Bee Colony Algorithm for Classification Rule Discovery

سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 949

فایل این مقاله در 5 صفحه با فرمت PDF قابل دریافت می باشد

این مقاله در بخشهای موضوعی زیر دسته بندی شده است:

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

ICS12_241

تاریخ نمایه سازی: 11 مرداد 1393

چکیده مقاله BeeMiner: A Novel Artificial Bee Colony Algorithm for Classification Rule Discovery

Artificial bee colony (ABC) is a new population-based algorithm that has shown promising results in the field of optimization. In this paper, we propose BeeMiner, a novel ABC algorithmfor discovering classification rules. BeeMiner differs from the original ABC because it uses an information-theoretic heuristicfunction (IHF) to guide the bees to search across the most promising areas of the search space. We compare the performanceof BeeMiner with those of J48, JRip, and PART on nine benchmark datasets from the UCI Machine Learning Repository. The results show that BeeMiner is competitive with J48, JRip, and PART in terms of the predictive accuracy

کلیدواژه های BeeMiner: A Novel Artificial Bee Colony Algorithm for Classification Rule Discovery:

نویسندگان مقاله BeeMiner: A Novel Artificial Bee Colony Algorithm for Classification Rule Discovery

Mehdi Talebi

Faculty of Engineering Tarbiat Modares University Tehran, Iran

Mahdi Abadi

Faculty of Electrical and Computer Engineering Tarbiat Modares University Tehran, Iran