000			01653cam a22001938i 4500
020			_a9780367715113
020			_a9780367715120
082	0	0	_a620.00151 _223/eng/20211118 _bSAM
100			_aSamanta, Debabrata
245	0	0	_aData analytics, computational statistics, and operations research for engineers : _bmethodologies and applications / _cedited by Debabrata Samanta, SK Hafizul Islam, Naveen Chilamkurti, and Mohammad Hammoudeh.
250			_aFirst edition.
260			_aBoca Raton _bCRC Press _c2022
300			_apages cm
504			_aIncludes bibliographical references and index.
520			_a"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"--
650		0	_aEngineering
700	1		_aSamanta, Debabrata,
942			_cBK
999			_c668463 _d668463