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Data Mining for Social Network Analysis Using a CLIQUE Algorithm

Data Mining for Social Network Analysis Using a CLIQUE Algorithm
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Author(s): Phu Ngoc Vo (Duy Tan University, Vietnam)and Tran Vo Thi Ngoc (Ho Chi Minh City University of Technology, Vietnam & Vietnam National University – Ho Chi Minh City, Vietnam)
Copyright: 2019
Pages: 28
Source title: Cognitive Social Mining Applications in Data Analytics and Forensics
Source Author(s)/Editor(s): Anandakumar Haldorai (Sri Eshwar College of Engineering, India)and Arulmurugan Ramu (Presidency University, India)
DOI: 10.4018/978-1-5225-7522-1.ch009

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Abstract

Many different areas of computer science have been developed for many years in the world. Data mining is one of the fields which many algorithms, methods, and models have been built and applied to many commercial applications and research successfully. Many social networks have been invested and developed in the strongest way for the recent years in the world because they have had many big benefits as follows: they have been used by lots of users in the world and they have been applied to many business fields successfully. Thus, a lot of different techniques for the social networks have been generated. Unsurprisingly, the social network analysis is crucial at the present time in the world. To support this process, in this book chapter we have presented many simple concepts about data mining and social networking. In addition, we have also displayed a novel model of the data mining for the social network analysis using a CLIQUE algorithm successfully.

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