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Books > Computing & IT > Applications of computing > Databases

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Open Source Software for Statistical Analysis of Big Data - Emerging Research and Opportunities (Paperback) Loot Price: R3,107
Discovery Miles 31 070
You Save: R2,283 (42%)
Open Source Software for Statistical Analysis of Big Data - Emerging Research and Opportunities (Paperback): Richard S Segall,...

Open Source Software for Statistical Analysis of Big Data - Emerging Research and Opportunities (Paperback)

Richard S Segall, Gao Niu

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List price R5,390 Loot Price R3,107 Discovery Miles 31 070 | Repayment Terms: R291 pm x 12* You Save R2,283 (42%)

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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.

General

Imprint: Business Science Reference
Country of origin: United States
Release date: February 2020
Editors: Richard S Segall • Gao Niu
Dimensions: 254 x 178 x 18mm (L x W x T)
Format: Paperback
Pages: 256
ISBN-13: 978-1-79982-769-6
Categories: Books > Computing & IT > Computer programming > Software engineering
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
Books > Computing & IT > Applications of computing > Databases > General
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LSN: 1-79982-769-0
Barcode: 9781799827696

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