Big Data Analytics for Sustainable Computing

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.

Big Data Analytics for Sustainable Computing

Big Data Analytics for Sustainable Computing

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.

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Big Data Analytics for Sustainable Computing
Language: en
Pages: 263
Authors: Haldorai, Anandakumar, Ramu, Arulmurugan
Categories: Computers
Type: BOOK - Published: 2019-09-20 - Publisher: IGI Global

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
Big Data Analytics for Sustainable Computing
Language: en
Pages: 263
Authors: Anandakumar Haldorai, Arulmurugan Ramu
Categories: Big data
Type: BOOK - Published: 2019 - Publisher:

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
Big Data Science and Analytics for Smart Sustainable Urbanism
Language: en
Pages: 337
Authors: Simon Elias Bibri
Categories: Political Science
Type: BOOK - Published: 2020-07-03 - Publisher: Springer

We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science
Green Computing and Predictive Analytics for Healthcare
Language: en
Pages: 190
Authors: Sourav Banerjee, Chinmay Chakraborty, Kousik Dasgupta
Categories: Computers
Type: BOOK - Published: 2020-12-10 - Publisher: CRC Press

Green Computing and Predictive Analytics for Healthcare excavates the rudimentary concepts of Green Computing, Big Data and the Internet of Things along with the latest research development in the domain of healthcare. It also covers various applications and case studies in the field of computer science with state-of-the-art tools and
Cloud Computing for Geospatial Big Data Analytics
Language: en
Pages: 289
Authors: Himansu Das, Rabindra K. Barik, Harishchandra Dubey, Diptendu Sinha Roy
Categories: Computers
Type: BOOK - Published: 2018-12-11 - Publisher: Springer

This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have

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