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

Author (s) : Richard S. Segall

Publisher IG Global
Publication Year 2020
Copyright Year 2020
ISBN 9781799827689
eISBN 9781799827702
Page 237



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.

Teaching and Learning Perspectives on Doctoral Programs in Education: Emerging Research and Opportunities is a critical scholarly publication that examines the effectiveness of doctoral programs and strategies for successful academic advisement. The book explores doctoral programs from three perspectives: designing a doctoral program, teaching/mentoring within a doctoral program, and being a student in a doctoral program. Featuring a wide range of topics such as higher education, professional development, and program design, this book is ideal for instructional designers, academicians, academic advisers, administrators, researchers, education professionals, and doctoral students attempting to successfully navigate a doctoral program.

Recent Technologies for Enhancing Performance and Reducing Emissions in Diesel Engines is a pivotal reference source that provides vital research on technical and environmental enhancements to the emission and combustion characteristics of diesel engines. While highlighting topics such as biodiesel emulsions, nanoparticle additives, and mathematical modeling, this publication explores the potential additives that have been incorporated into the performance of diesel engines in order to positively affect the environment. This book is ideally designed for chemical and electrical engineers, developers, researchers, power generation professionals, mechanical practitioners, scholars, ecologists, scientists, graduate students, and academicians seeking current research on modern innovations in fuel processing and environmental pollution control.

Cross-Border Cooperation (CBC) Strategies for Sustainable Development is a pivotal reference source that provides relevant theoretical frameworks and trends in border area dynamics as well as cross-border cooperation’s influence on sustainable development. Highlighting topics such as CBC in insular territories, biodiversity policy, and sustainable planning and development, this book is ideally designed for culture analysts, sustainability specialists, policymakers, researchers, academicians, and students.