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Big Data Analytics for Sustainable Computing

Big Data Analytics for Sustainable Computing

Copyright: © 2020 |Pages: 263
ISBN13: 9781522597506|ISBN10: 1522597506|EISBN13: 9781522597520
DOI: 10.4018/978-1-5225-9750-6
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MLA

Haldorai, Anandakumar, and Arulmurugan Ramu, editors. Big Data Analytics for Sustainable Computing. IGI Global, 2020. https://doi.org/10.4018/978-1-5225-9750-6

APA

Haldorai, A. & Ramu, A. (Eds.). (2020). Big Data Analytics for Sustainable Computing. IGI Global. https://doi.org/10.4018/978-1-5225-9750-6

Chicago

Haldorai, Anandakumar, and Arulmurugan Ramu, eds. Big Data Analytics for Sustainable Computing. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-5225-9750-6

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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.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Data Mining and Database Management (ADMDM) Book Series
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Editorial Advisory Board
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Preface
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Acknowledgment
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Chapters
Back Materials
Compilation of References
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About the Contributors
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Index
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