000			02956nam a2200457Ii 4500
001			9781800438781
003			UtOrBLW
005			20211117122845.0
006			m o d
007			cr un|||||||||
008			201216t20202021enk ob 001 0 eng d
020			_a9781800438781
020			_a9781800438767 _qelectronic bk.
040			_aUtOrBLW _beng _erda _cUtOrBLW
050		4	_aHD30.23 _b.D38 2020
072		7	_aBUS019000 _2bisacsh
072		7	_aKJMD _2bicssc
080			_a658
245	0	0	_aData science and analytics / _cedited by Dr. Sneha Kumari (Vaikunth Mehta National Institute of Cooperative Management, India), Dr. K. K. Tripathy and Dr. Vidya Kumbhar (Symbiosis Institute of Geoinformatics, India).
264		1	_aBingley, U.K. : _bEmerald Publishing Limited, _c2020.
264		4	_c©2021
300			_a1 online resource (xxii, 189 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aChapter 1: Data visualization / _rAarti Mehta Sharma -- Chapter 2: Analytical aspects of multimedia big data computing and future scope / _rHiral R. Patel, Ajay M Patel Satyen M Parikh -- Chapter 3: Predictive analysis: comprehensive study of popular open source tools / _rGauri Rajendra Virkar, Supriya Sunil Shinde -- Chapter 4: Market opportunities through effective market analytics / _rShakti Ranjan Panigrahy -- Chapter 5: Stochastic point process techniques for modelling problems in IoT and marketing: technique of "Random Point Process" (RPP) & "Product density" (PD)techniques in stochastic modeling / _rKSS Iyer, Madhavi Damle -- Chapter 6: Real-time data analytics - a contemporary approach towards customer relationship management / _rSamir Yerpude -- Chapter 7: Application of big data for sustainable rural development with special reference to MNREGA / _rK. K. Tripathy, Sneha Kumari -- Chapter 8: Challenges of digital technologies in the development of supply chains: a guide for their selection / _rJorge Tarifa-Fernandez, Almudena Martínez Aguilera, José Felipe Jiménez-Guerrero.
520			_aData Science and Analytics explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications.
588	0		_aPrint version record.
650		0	_aDecision making.
650		0	_aBusiness intelligence.
650		0	_aBig data.
650		7	_aBusiness & Economics _xDecision-Making & Problem Solving. _2bisacsh
650		7	_aManagement decision making. _2bicssc
700	1		_aKumari, Sneha, _eeditor.
700	1		_aTripathy, K. K., _eeditor.
700	1		_aKumbhar, Vidya, _eeditor.
776			_z9781800438774
856	4	0	_uhttps://doi.org/10.1108/9781800438767
999			_c50998 _d50998