Advanced computational intelligence techniques have been designed and developed in recent years to cope with various big data challenges and provide fast and efficient analytics that assist in making critical decisions. With the rapid evolution and development of internet-based services and applications, this technology is receiving attention from researchers, industries, and academic communities and requires additional study.

Convergence of Big Data Technologies and Computational Intelligent Techniques considers recent advancements in big data and computational intelligence across fields and disciplines and discusses the various opportunities and challenges of adoption. Covering topics such as deep learning, data mining, smart environments, and high-performance computing, this reference work is crucial for computer scientists, engineers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

About the Author:

Govind P. Gupta is currently working as Assistant Professor in National Institute of Technology, Raipur. He has done PhD from IIT, Roorkee. His area of interests are Computer Networking, Distributed Algorithms design for Wireless Sensor Networks, Performance Analysis, Big Data Processing, Parallel and Distributed Computing, Design & Analysis of Algorithms.

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Convergence of Big Data Technologies and Computational Intelligent Techniques

Gupta, Govind (EDT)

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