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Big Data and Information Theory
Big Data and Information Theory
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- More about Big Data and Information Theory
Big Data and Information Theory are a powerful combination that enables societal advancement by allowing companies to store and analyze vast amounts of information. This book covers various topics such as optimization, statistics, and data mining, and brings together leading researchers and engineers to exchange and share their experiences and research results.
Format: Paperback / softback
Length: 116 pages
Publication date: 29 January 2024
Publisher: Taylor & Francis Ltd
Big Data and Information Theory are two powerful forces that connect diverse fields of knowledge, driving societal progress. The rapid advancement of data analytics and information theory enables companies to collect vast amounts of information about production, inventory, service, and consumer activities. With the power of more powerful CPUs and cloud computing, complex optimization can be achieved, replacing heuristic algorithms with efficient methods. Moreover, instant decision-making becomes possible, eliminating the need for offline processes.
The challenges of the big data era encompass analysis, capture, curation, search, sharing, storage, transfer, visualization, and privacy violations. Big data requires a better integration of optimization, statistics, and data mining techniques. In response to these challenges, this book brings together leading researchers and engineers to exchange and share their experiences and research results regarding big data and information theory applications in various areas.
The book covers a wide 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.
The chapters in this book were originally published in the journal, International Journal of Management Science and Engineering Management.
Weight: 453g
Dimension: 297 x 210 (mm)
ISBN-13: 9781032266329
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