Big Data Analytics: A Social Network Approach

ISBN-13: 9780367780777 / Angielski / Miękka / 2021 / 316 str.

Mrutyunjaya Panda; Ajith Abraham; Aboul Ella Hassanien

Opis

The book spans almost all disciplines like: neural network, deep learning, artificial intelligence, visualization, e-learning in higher education, e-healthcare, security and intrusion detection. Social networking has increased dramatically in recent year, resulting in increase in the amount of data created daily.

 

Spis treści

Linkage based Social Network Analysis in Distributed Platform. An Analysis of AI based Supervised Classifiers for Intrusion Detection in Big Data. Big Data Techniques in Social Network Analysis. Analysis of Deep Learning Tools and Applications in e-Healthcare. Assessing the Effectiveness of IPTEACES e-Learning Framework in Higher Education: An Australian’s Perspective. Review Study: CAPTCHA Mechanisms for Protecting Web services against Automated Bots. Colored Petri Net Model for Blocking Misleading Information Propagation in Online Social Networks. The Conceptual and Architectural Design of Genetic-Based Optimal Patter Warehousing System. Controlling Social Information Cascade: A Survey. Swarms optimization for Community Detection in Complex Networks: A Comparative Analysis. Trustworthiness in the Social Internet of Things. Big Data Analysis: Technology and Applications. Social Networking in Higher Education: Saudi Arabia perspective. Animal Social Networks Analysis: Reviews, Tools and Challenges.

O autorze

Mrutyunjaya Panda is a Reader in the Department of Computer Science and Application, Utkal University, Bhubaneswar, Odisha, India. His areas of research include Data Mining, Intrusion Detection, Mobile Communication, Social Networking, Sensor Network and Image Processing.

Aboul-Ella Hassanien (Abo) is a Professor in the Faculty of Computers and Information, IT Department, Cairo University, and the Chair of the Technology Center of Blind and Visually Impaired People.

Ajith Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), USA which has more than 1,000 scientific members from over 100 countries. He works in a multi-disciplinary environment involving Machine Intelligence, Cyber-physical Systems, Internet of Things, Network Security, Sensor Networks, Web Intelligence and its applications in various real-world problems.