A Review of Some Semi-Supervised Learning Methods
Publish place: The first international conference of modern research engineers in electricity and computer
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CBCONF01_0879
تاریخ نمایه سازی: 16 شهریور 1395
Abstract:
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.
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Authors
Mohsen Hajighorbani
Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran
Seyyed Mohammad Reza Hashemi
Young Researchers and Elite Club Islamic Azad University Qazvin, Iran
B Minaei-Bidgoli
Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran
Shabnam Safari
Department of Computer Zagros Institute of Higher Education, Kermanshah, Iran
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