Convergence of Big Data Technologies and Computational Intelligent Techniques

dvanced Computational Intelligence (CI) 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. With the rapid evolution and development of internet-based services and applications, Big Data problem is perceived recently in almost all domains like social network analysis, Healthcare informatics, Cyber security Analytics, Sentiment Analysis etc. Big Data refers to a collection of huge datasets that are very complex in structure and size and cannot be handle with help of traditional data management tools. Nowadays, application of Computational Intelligence (CI) techniques in Big Data analytics are very emerging research area among the software industry, data engineering researchers and academics community. Recent advancement in Computational Intelligent (CI) techniques by converging the mathematical modelling techniques with data engineering and optimization techniques, motivates the big data engineers and researchers to apply in various engineering domain related to Big Data. Advanced computational intelligence techniques are being designed and developed in recent years to cope with the various big data challenges to provide fast and efficient analytics which helps in making of the critical decision. Big data processing and Analytics have found various applications in different domain such as healthcare, intelligent transportation system, smart cities, smart grid, smart environment.