Shopping Cart


Open Source Software For Statistical Analysis of Big Data

Open Source Software For Statistical Analysis of Big Data

By Richard Segall



With the development of computing technologies in today's 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 big data due to the high amounts that organizations are processing. 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 Statistical Analysis 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 statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, 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.

ISBN: 9781799827689


  • Order by 6pm for same day dispatch*
  • In stock online
  • Delivery in 5-7 working days
  • Free Delivery

+ 1148 Reward Points




Deliveries within Ireland:* 2–3 working days
Free delivery on orders over €20

*on in-stock items


Return your order within
14 days for full refund, or
within 28 days for store credit

Dubray Card

Earn 4 points with every €1 spent
Exclusive author content and book news
Pick up a card in your local Dubray