A Review of Some Semi-Supervised Learning Methods

سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 815

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شناسه ملی سند علمی:

JR_JKBEI-2-4_003

تاریخ نمایه سازی: 17 شهریور 1395

چکیده مقاله:

In recent years the use of data-mining techniques as well as smart algorithms has become common. Several tasks, formerly done at the expense of significant amounts of time and money, can be performed by means of these techniques and algorithms. On the other hand, many of our sources are textual ones.During all these years, there have been different classifications with varying approaches for this task. It is noteworthy that the possibility of automatization of these classifications relies on new texts. This paper deals with basic concepts, concerning data-mining and text-mining, reviewing some semi-supervised learning methods. It also gives a review some common algorithms in this area and finally presents the summary and conclusion.

نویسندگان

Mohsen Hajighorbani

Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran

Seyyed Mohammad Reza Hashemi

Department of Computer Engineering and Information Technology, Payame Noor University, Iran

Ali Broumandnia

Faculty of Computer and Information Technology Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

Maryam Faridpour

Young Researchers and Elite Club, Qazvin Branch, Islamic Azad University, Qazvin, Iran