000			02445cam a2200277zu 4500
001			88973893
003			FRCYB88973893
005			20251020124246.0
006			m o d
007			cr un
008			251020s2021 fr | o|||||0|0|||eng d
020			_a9781643682242
035			_aFRCYB88973893
040			_aFR-PaCSA _ben _c _erda
100	1		_aTallón-Ballesteros, Antonio J.
245	0	1	_aModern Management based on Big Data II and Machine Learning and Intelligent Systems III _bProceedings of MMBD 2021 and MLIS 2021 _c['Tallón-Ballesteros, Antonio J.']
264		1	_bSAGE Publications _c2021
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aTallón-Ballesteros, Antonio J.
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88973893 _qtext/html _a
520			_aIt is data that guides the path of applications, and Big Data technologies are enabling new paths which can deal with information in a reasonable time to arrive at an approximate solution, rather than a more exact result in an unacceptably long time. This can be particularly important when dealing with an urgent issue such as that of the COVID-19 pandemic. This book presents the proceedings of two conferences: MMBD 2021 and MLIS 2021. The MMBD conference deals with two main subjects; those of Big Data and Modern Management. The MLIS conference aims to provide a platform for knowledge exchange of the most recent scientific and technological advances in the field of machine learning and intelligent systems. Both conferences were originally scheduled to be held from 8-11 November 2021, in Quanzhou, China and Xiamen, China respectively. Both conferences were ultimately held fully online on the same dates, hosted by Huaqiao University in Quanzhou and Xiamen respectively. The book is in two parts, and contains a total of 78 papers (54 from MMBD2021 and 24 from MLIS2021) selected after rigorous review from a total of some 300 submissions. The reviewers bore in mind the breadth and depth of the research topics that fall within the scope of MMBD and MLIS, and selected the 78 most promising and FAIA mainstream-relevant contributions for inclusion in this two-part volume. All the papers present original ideas or results of general significance supported by clear reasoning, compelling evidence and rigorous methods.
999			_c1556803 _d1556803