{"product_id":"big-data-and-information-theory-paperback","title":"Big Data and Information Theory - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eJiuping Xu\u003c\/b\u003e (Editor), \u003cb\u003eSyed Ejaz Ahmed\u003c\/b\u003e (Editor), \u003cb\u003eZongmin Li\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBig Data and Information Theory are a binding force between various areas of knowledge that allow for societal advancement. Rapid development of data analytic and information theory allows companies to store vast amounts of information about production, inventory, service, and consumer activities. More powerful CPUs and cloud computing make it possible to do complex optimization instead of using heuristic algorithms, as well as instant rather than offline decision-making. \u003c\/p\u003e\u003cp\u003eThe era of \"big data\" challenges includes analysis, capture, curation, search, sharing, storage, transfer, visualization, and privacy violations. Big data calls for better integration of optimization, statistics, and data mining. In response to these challenges this book brings together leading researchers and engineers to exchange and share their experiences and research results about big data and information theory applications in various areas. This book covers a broad range of topics including statistics, data mining, data warehouse implementation, engineering management in large-scale infrastructure systems, data-driven sustainable supply chain network, information technology service offshoring project issues, online rumors governance, preliminary cost estimation, and information system project selection. \u003c\/p\u003e\u003cp\u003eThe chapters in this book were originally published in the journal, \u003ci\u003eInternational Journal of Management Science and Engineering Management.\u003c\/i\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eJiuping Xu\u003c\/strong\u003e is Associate Vice President, Dean of Business School, and Director of Institute of Emergency Management and Reconstruction in Post-disaster of Sichuan University, Chengdu, China. He has published more than 700 peer-reviewed journal papers and over 40 books.\u003c\/p\u003e\u003cp\u003eSyed Ejaz Ahmed is Dean of the Faculty of Mathematics and Science at Brock University, St Catharines, Canada. His research interests concentrate on big data, predictive modeling, data science, and statistical machine learning with applications.\u003c\/p\u003e\u003cp\u003eZongmin Li is Deputy Department Head of Management Science and System Science Department of Business School at Sichuan University, Chengdu, China. Her research interests focus on data-driven decision-making and big data analytics\u003ci\u003e.\u003c\/i\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 116\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.28 x 11.69 x 8.27 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 29, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48429661028601,"sku":"9781032266329","price":97.18,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/MYdBFtH_H89781032266329.webp?v=1779440097","url":"https:\/\/bookscloud.io\/products\/big-data-and-information-theory-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}