About the Book
With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress. Challenges and Applications of Data Analytics in Social Perspectives provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The content within this publication examines topics that include collaborative filtering, data visualization, and edge computing. It provides research ideal for data scientists, data analysts, IT specialists, website designers, e-commerce professionals, government officials, software engineers, social media analysts, industry professionals, academicians, researchers, and students.
About the Author :
V. Sathiyamoorthi is currently working as an Associate Professor in Computer Science and Engineering Department at Sona College of Technology, Salem, Tamil Nadu, India. He was born on June 21, 1983, at Omalur in Salem District, Tamil Nadu, India. He received his Bachelor of Engineering degree in Information Technology from Periyar University, Salem with First Class. He obtained his Master of Engineering degree in Computer Science and Engineering from Anna University, Chennai with Distinction and secured 30th University Rank.He received his Ph.D degree from Anna University, Chennai in Web Mining. His areas of specialization include Web Usage Mining, Data Structures, Design and Analysis of Algorithm and Operating System. He has published five papers in International Journals and eight papers in various National and International conferences. He has also participated in various National level Workshops and Seminars conducted by various reputed institutions. Atilla Elci is full professor in the Software Engineering Department, Hasan Kalyoncu University, Turkey. He retired as full professor and chairman, Aksaray University (2012-2017). Served at Purdue, METU, Haliç, Başkent, EMU, Toros, SDÜ, and Aksaray. His pro practice includes ITU as chief technical advisor (1985-97) and IT&T Pvt Ltd as owner, Turkey (1997-2003). He has organized/served for committees of numerous international conferences. He has organized IEEE COMPSAC & ESAS since 2006, SIN Confs since 2007; and, IJRCS Symposiums 2008-9. He has published extensively; edited Semantic Agent Systems (Springer, 2011), Theory and Practice of Cryptography Solutions for Secure Information Systems (2013), Handbook of Applied Learning Theory and Design in Modern Education (2016), Metacognition and Successful Learning Strategies in Higher Education (2017), Comptemporary Perspectives on Web-Based Systems (May 2018), and Faculty Development for Digital Teaching and Learning (May 2019) all by IGI Global, and the procs SIN Confs by ACM, ESAS by IEEE CS. He serves IEEE COMPSAC since 2005, track chair (2008-2015), Standing Committee Member since 2014. He is an assoc editor of Expert Systems and board member of other journals. BSEE METU, Ankara (1970), M.Sc. & Ph.D. in Computer Sciences, Purdue Univ, USA (1973, 1975). His research and experience encompass web semantics, agent-based systems, robotics, machine learning, knowledge representation and ontology, information security, and educational technology.
