Handbook of Research on Big Data Storage and Visualization Techniques

Richard S. Segall, Jeffrey S. Cook (Herausgeber)

Media-Kombination

917 Seiten

2018
Engineering Science Reference
978-1-5225-5454-7 (ISBN)

Infos

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.

Autor

Dr. Richard S. Segall is a Professor of Computer & Information Technology in the College of Business at Arkansas State University in Jonesboro, AR and also teaches in the Master of Engineering Management (MEM) Program in the College of College of Agriculture, Engineering & Technology. 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, text mining, web mining, database management, Big Data, 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: The International Journal of Cybernetics , Systems and Management Sciences , Journal of the Operational Research Society (JORS) and Journal of Systemics, Cybernetics and Informatics (JSCI) . 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 is a member of the Arkansas Center for Plant-Powered-Production (P3), and on the Editorial Board of the International 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. He is co-editor of two other books published by IGI Global: Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications in 2011 and Research and Applications in Global Supercomputing in 2015. Dr. Segall is recipient of Arkansas State University, College of Business Faculty Award for Excellence in Research in 2015. 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.

Produkt-Details

• Erscheint lt. Verlag: 5.1.2018
• Reihe/Serie: Advances in Data Mining and Database Management
• Verlagsort: Hershey, PA
• Sprache: englisch
• Maße: 216 x 279 mm
• Themenwelt: Informatik ► Software Entwicklung ► User Interfaces (HCI)
• ISBN-10: 1-5225-5454-8 / 1522554548
• ISBN-13: 978-1-5225-5454-7 / 9781522554547
• Zustand: Neuware