Handbook of Research on Big Data Storage and Visualization Techniques (2 Volumes)

Handbook of Research on Big Data Storage and Visualization Techniques (2 Volumes)

Indexed In: SCOPUS
Release Date: January, 2018|Copyright: © 2018 |Pages: 917
DOI: 10.4018/978-1-5225-3142-5
ISBN13: 9781522531425|ISBN10: 1522531424|EISBN13: 9781522531432
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Description & Coverage
Description:

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data.

The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

Coverage:

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

  • Analytics
  • Architecture Patterns
  • Clouds and Clusters
  • Computational Business Intelligence
  • Computational Energy
  • Programming Systems
  • Technologies
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Editor/Author Biographies

Dr. Richard S. Segall is Professor of Information Systems & Business Analytics in the Neil Griffin College of Business at Arkansas State University in Jonesboro, AR where has also taught for ten years in the Master of Engineering Management (MEM) Program in the College of Engineering & Computer Science. He is also Affiliated Faculty at the University of Arkansas at Little Rock (UALR) where he serves on thesis committees. He holds a Bachelor of Science and Master of Science in Mathematics as well as a Master of Science in Operations Research and Statistics from Rensselaer Polytechnic Institute in Troy, New York. He also holds a PhD in Operations Research form University of Massachusetts at Amherst, He has served on the faculty of Texas Tech University, University of Louisville, University of New Hampshire, University of Massachusetts-Lowell, and West Virginia University. His research interests include data mining, Big Data, text mining, web mining, database management, and mathematical modeling.

Dr. Segall‘s publications have appeared in numerous journals including International Journal of Information Technology and Decision Making (IJITDM), International Journal of Information and Decision Sciences (IJIDS), Applied Mathematical Modelling (AMM), Kybernetes, Journal of the Operational Research Society (JORS), Journal of Systemics, Cybernetics and Informatics (JSCI), International Journal of Artificial Intelligence and Machine Learning (IJAIML), International Journal of Open Source Software and Processes (IJOSSP), and International Journal of Fog Computing (IJFC). He has published book chapters in Encyclopedia of Data Warehousing and Mining, Handbook of Computational Intelligence in Manufacturing and Production Management,Handbook of Research on Text and Web Mining Technologies, Encyclopedia of Information Science & Technology, and Encyclopedia of Business Analytics & Optimization.

Dr. Segall was a member of the former Arkansas Center for Plant-Powered-Production (P3), and is a member of the Center for No-Boundary Thinking (CNBT), and on the Editorial Board of theInternational Journal of Data Mining, Modelling and Management (IJDMMM)) and International Journal of Data Science (IJDS), and served as Local Arrangements Chair of the MidSouth Computational Biology & Bioinformatics Society (MCBIOS) Conference that was hosted at Arkansas State University.

His research has been funded by National Research Council (NRC), U.S. Air Force (USAF), National Aeronautical and Space Administration (NASA), Arkansas Biosciences Institute (ABI), and Arkansas Science & Technology Authority (ASTA). He is recipient of several Session Best Paper awards at World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI) conferences. Dr.Segall is Lead Editor of several IGI Global books of: Biomedical and Business Applications using Artificial Neural Networks and Machine Learning, Open Source Software for Statistical Analysis of Big Data, Handbook of Big Data Storage and Visualization Techniques (2 volumes), and Research and Applications in Global Supercomputing, and is co-editor of Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications. Dr. Segall is recipient of Arkansas State University, Neil Griffin College of Business Faculty Award for Excellence in Research in 2015 and 2019, and the 2020 University Award in Scholarship (Research) of Arkansas State University.

Jeffrey S. Cook lives in Jonesboro, Arkansas, where he is an entrepreneur in computer technology. He contributed a chapter entitled “Supercomputers and Supercomputing” in Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications edited by Qingyu Zhang, Richard Segall, and Mei Cao that was published by IGI Global in 2011. He worked as a BetaTester for the Microsoft Corporation in the development of Windows 2000 and Windows XP. Cook spent 9 years in the United States Army where he specialized in nuclear, biological, and chemical warfare agents as well as computer systems and foreign languages. He currently holds a patent in Aerospace-design that was adopted by Boeing Aerospace Corporation along with several other patents pertaining to software development. He is also a research writer who has published several books through McGraw-Hill College Division and Vantage Press. He has served for 6 years on the Republican National Committee (RNC) of The United States House of Representatives. Jeffrey S. Cook is listed in Cambridge’s book of Who’s Who for influential people.
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