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" Data analytics, computational statistics, and operations research for engineers : "
edited by Debabrata Samanta, SK Hafizul Islam, Naveen Chilamkurti, and Mohammad Hammoudeh.
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BL
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| Record Number
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1091595
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| Doc. No
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bc1010901
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| Language of Document
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English
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| Title & Author
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Data analytics, computational statistics, and operations research for engineers : : methodologies and applications /\ edited by Debabrata Samanta, SK Hafizul Islam, Naveen Chilamkurti, and Mohammad Hammoudeh.
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| Edition Statement
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First edition.
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| Publication Statement
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Boca Raton :: CRC Press, Taylor & Francis Group,, 2022.
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| Page. NO
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1 online resource
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| ISBN
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9781003152392
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: 1003152392
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9780367715113
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9780367715120
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Abstract
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"With the rapidly advancing fields of Data Analytics and Computational Statistics, it's important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information. Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning"--
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| Subject
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Engineering-- Data processing.
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| Subject
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Engineering-- Data processing.
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| Dewey Classification
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620.001/51
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| LC Classification
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TA345
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| Added Entry
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Samanta, Debabrata,1987-
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