In a recent review featured in the November 2023 issue (Volume 61, Number 3) of Choice, the influential academic journal, the book titled Convergence of Big Data Technologies and Computational Intelligent Techniques, edited by Govind P. Gupta, has garnered substantial acclaim. J. Forrest from the Georgia Institute of Technology, the esteemed reviewer, provides an insightful evaluation that positions the book as a significant contribution to the field.
Review Full Choice Review
This book provides a multidisciplinary view ofthe evaluation and extraction of information from big data problems. Each chapter stands on its own and speaks to both domain and application knowledge within computer science and other fields, providing a detailed literature review, problem statement, and a sufficient but not overwhelming technical overview ofthe given problem. Forreaders working within specific knowledge domains, such as transportation planning and engineering, medical imagery, journalism, or public policy,the introduction provides a general foundation on big data, while each chapter provides a context-specific overview of a particular computer science application. This volume can lead such readers to further study oridentify opportunities forinterdisciplinary collaboration they may pursue. Forreaders with computer science background,these same chapters provide real-world examples oftheir discipline in action, offering engaging topics for class discussion or possible future research. Some chapters, especially those thatfocus on treatment of specific types of dataset or analysis—Twitter analysis,the internet ofthings (IoT), edge computing, and dimensionality reduction—are sufficiently technicalto supportreplication ofthe illustrated method across disciplines by well-informed readers.
About the Editor
Govind P. Gupta is currently working as Assistant Professor in National Institute of Technology, Raipur. He has done PhD from IIT, Roorkee. His area of interests are Computer Networking, Distributed Algorithms design for Wireless Sensor Networks, Performance Analysis, Big Data Processing, Parallel and Distributed Computing, Design & Analysis of Algorithms.
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Choice supports the work and professional development of academic librarians by providing tools and services that help them become more effective advocates for their patrons. Through its over-fifty-year history, it has established itself as an authoritative source for the evaluation of scholarly resources and as the publisher of trusted research in areas of interest to a changing academic library community. Today, Choice works to bring librarians, scholars, publishers, and the reading public together, facilitating a shared concern for the discovery, management, and preservation of scholarly information.
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