Big Data Analytics : A Social Network Approach /

• Corporate Author: Taylor and Francis.
• Other Authors: Panda, Mrutyunjaya, (Editor), Abraham, Ajith, (Editor), Hassanien, Aboul Ella, (Editor)
• Format: eBook
• Language: English
• Published: Boca Raton, FL : CRC Press, 2018.
• Edition: First edition.
• Subjects: COMPUTERS / Database Management / Data Mining.; COMPUTERS / Internet / General.; big data analytics.; distributed data mining.; hadoop.; machine learning.; predictive analytics.; real time analytics.; Big data.; Discourse analysis, Narrative.; Truthfulness and falsehood.; Online social networks.; Electronic books.
• Online Access: Click here to view
• Physical Description: 1 online resource (322 pages) : 170 illustrations, text file, PDF; Also available in print format.
• Bibliography: Includes bibliographical references and index.
• ISBN: 9781315112626(e-book : PDF)

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 ofbig 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.