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Book synopsis

Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional algorithm software cannot deal with such complex and vast amounts of data, necessitating the development of novel analytic approaches and tools.

This reference work deals with social network aspects of big data analytics. It covers theory, practices and challenges in social networking. The book spans numerous disciplines like neural networking, deep learning, artificial intelligence, visualization, e-learning in higher education, e-healthcare, security and intrusion detection.

Book details

Book category Books in English Mathematics & science Mathematics Probability & statistics

• Full title: Big Data Analytics
• Author: Aboul Ella Hassanien, utyunjaya Panda, Ajith Abraham
• Language: English
• Binding: Hardback
• Number of pages: 322
• EAN: 9781138082168
• ISBN: 9781138082168
• ID: 19655306
• Publisher: Taylor & Francis Ltd
• Weight: 588 g
• Dimensions: 162 × 239 × 25 mm
• Date of publishing: 09. October 2018

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