Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities

Book Description

With the development of technologies in todays modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing due to the high amounts that organizations are . Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data.

Open Source Software for of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and , this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.

Book Details

  • Title: Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities
  • Author: ,
  • Length: 250 pages
  • Edition: I
  • Language: English
  • Publisher:
  • Publication Date: 2020-02-21
  • ISBN-10: 1799827682
  • ISBN-13: 9781799827689

Book Link

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