Data mining methods in machine learning techniques and algorithms
محل انتشار: ششمین کنفرانس بین المللی محاسبات نرم
سال انتشار: 1404
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 11
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شناسه ملی سند علمی:
CSCG06_238
تاریخ نمایه سازی: 4 مهر 1405
چکیده مقاله:
Various techniques are used for machine learning. Supervised, unsupervised, quasi-supervised, and reinforcement techniques are the most widely used machine learning methods that use classification, regression, clustering, association rules, dimensionality reduction, and other methods for learning. Also, numerous algorithms based on the above techniques and methods have been introduced, which we will discuss in this article. In this article, the concepts of machine learning are examined along with the techniques and methods of implementing machine learning, and various machine learning algorithms are described. The purpose of writing this article is to review machine learning techniques and algorithms and categorize and compare different machine learning algorithms.
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نویسندگان
Atefeh Hassani Bafrani
Department of Mathematics, Payame Noor University, P.O. Box ۱۹۳۹۵-۴۶۹۷, Tehran, Iran