Big Data Analytics for Sustainable Computing - Softcover

Softcover

ISBN 10: 1522597514 ISBN 13: 9781522597513

Verlag: Engineering Science Reference, 2019

Inhaltsangabe

Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore, to obtain the valuable information within the data, one must use a variety of innovative analytical methods, such as web analytics, machine learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational intelligence and computing services for analyzing this significant area of information science.

Big Data Analytics for Sustainable Computing is a collection of innovative research that focuses on new computing and system development issues in emerging sustainable applications. Featuring coverage on a wide range of topics such as data filtering, knowledge engineering, and cognitive analytics, this publication is ideally designed for data scientists, IT specialists, computer science practitioners, computer engineers, academicians, professionals, and students seeking current research on emerging analytical techniques and data processing software.

Über diesen Titel

Über die Autorinnen und Autoren

Anandakumar Haldorai , Professor (Associate) and Research Head in Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India. He has received his Master’s in Software Engineering from PSG College of Technology, Coimbatore and PhD in Information and Communication Engineering from PSG College of Technology under, Anna University, Chennai. His research areas include Big Data, Cognitive Radio Networks, Mobile Communications and Networking Protocols. He has authored more than 82 research papers in reputed International Journals and IEEE conferences. He has authored 7 books and many book chapters with reputed publishers such as Springer and IGI. He is editor of Inderscience IJISC and served as a reviewer for IEEE, IET, Springer, Inderscience and Elsevier journals. He is also the guest editor of many journals with Elsevier, Springer, Inderscience, etc. He has been the General Chair, Session Chair, and Panelist in several conferences. He is senior member of IEEE, IET, ACM and Fellow member of EAI research group.

Arulmurugan Ramu Received his PhD. degrees in Information and Communication Engineering from Anna University, Chennai, Tamil Nadu, India. He is currently working as Assistant Professor in the Department of Computer Science and Engineering, Presidency University, India. He received Young Faculty Award for 2018. He published many paper in Scopus indexed and SCI journals with Google scholar 61 citations.His research interests include Digital Image Processing, Biomedical Image Processing Computer vision, pattern recognition, and machine learning.

Details zur Ausgabe

• Verlag: Engineering Science Reference
• Erscheinungsdatum: 2019
• Sprache: Englisch
• ISBN 10: 1522597514
• ISBN 13: 9781522597513
• Einband: Tapa blanda
• Anzahl der Seiten: 292
• Herausgeber: Haldorai Anandakumar, Ramu Arulmurugan
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar