Big Data Analytics for Sustainable Computing

Big Data Analytics for Sustainable Computing

Anandakumar Haldorai (Sri Eshwar College of Engineering, India) and Arulmurugan Ramu (Presidency University, India)
Release Date: September, 2019|Copyright: © 2020 |Pages: 263
ISBN13: 9781522597506|ISBN10: 1522597506|EISBN13: 9781522597520|DOI: 10.4018/978-1-5225-9750-6


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.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Cloud Computing
  • Cognitive Analytics
  • Cyber Security
  • Data Filtering
  • Knowledge Engineering
  • Machine Learning
  • Real-Time Data
  • Scalable Data Management
  • Smart Grid
  • Ubiquitous Data

Table of Contents and List of Contributors

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