000			02695cam a2200277 i 4500
003			PIMLIB
005			20240831103733.0
008			240831b en ||||| |||| 00| 0 eng d
010			_a2022045769
020			_a9781774910528 _q(hardcover)
020			_a9781774910535 _q(paperback)
020			_z9781003284543 _q(ebook)
050	0	0	_aQA76.9.B45 _b.R44 _y2023
245	0	0	_aResearch practitioner's handbook on big data analytics / _cS. Sasikala, PhD, D. Renuka Devi, Raghvendra Kumar, PhD, editor.
250			_aFirst edition.
264		1	_aPalm Bay, FL, USA : _bApple Academic Press, _c2023.
300			_a291 pages : _billustrations (some color) ; _c23 cm
504			_aIncludes bibliographical references and index.
520			_a"With the growing interest in and use of big data analytics in many industries and in many research fields around the globe, this new volume addresses the need for a comprehensive resource on the core concepts of big data analytics along with the tools, techniques, and methodologies. The book gives the why and the how of big data analytics in an organized and straightforward manner, using both theoretical and practical approaches. The book's authors have organized the contents in a systematic manner, starting with an introduction and overview of big data analytics and then delving into pre-processing methods, feature selection methods and algorithms, big data streams, and big data classification. Such terms and methods as swarm intelligence, data mining, the bat algorithm and genetic algorithms, big data streams, and many more are discussed. The authors explain how deep learning and machine learning along with other methods and tools are applied in big data analytics. The last section of the book presents a selection of illustrative case studies that show examples of the use of data analytics in industries such as health care, business, education, and social media. Research Practitioner's Handbook on Big Data Analytics will be a valuable addition to the libraries of practitioners in data collection in many industries along with research scholars and faculty in the domain of big data analytics. The book can also serve as a handy textbook for courses in data collection, data mining, and big data analytics"-- _cProvided by publisher.
650		0	_aBig data.
690			_945752 _a0033 ศิลปศาสตรบัณฑิต สาขาภาษาอังกฤษเพื่อการสื่อสารทางธุรกิจ CEB (ป.ตรี)
700	1		_aSasikala, S., _d1970- _eeditor.
700	1		_aDevi, D. Renuka, _d1980- _eeditor.
700	1		_aKumar, Raghvendra, _d1987- _eeditor.
942			_2lcc _cBK _n0
999			_c1001243 _d1001243