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.
کلیدواژه ها:
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