000			03714nam a22003975i 4500
001			102455
003			DE-He213
005			20240111050140.0
007			cr nn 008mamaa
008			180516s2018 si | s |||| 0|eng d
020			_a9789811085697
024	7		_a10.1007/978-981-10-8569-7 _2doi
040			_aES-MaUEC _bspa
050		4	_aQ342 _b2018 EB
245	1	0	_aAdvances in Machine Learning and Data Science _bRecent Achievements and Research Directives _cedited by Damodar Reddy Edla, Pawan Lingras, Venkatanareshbabu K.
264		1	_aSingapore _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XII, 380 páginas 157 ilustraciones)
347			_atext file _bPDF
490	0		_aAdvances in Intelligent Systems and Computing _x2194-5357 _v705
505	0		_aPreface -- About the Editors -- Table of Contents -- 38 Papers -- Author Index.
520	3		_aThe Volume of "Advances in Machine Learning and Data Science - Recent Achievements and Research Directives" constitutes the proceedings of First International Conference on Latest Advances in Machine Learning and Data Science (LAMDA 2017). The 37 regular papers presented in this volume were carefully reviewed and selected from 123 submissions. These days we find many computer programs that exhibit various useful learning methods and commercial applications. Goal of machine learning is to develop computer programs that can learn from experience. Machine learning involves knowledge from various disciplines like, statistics, information theory, artificial intelligence, computational complexity, cognitive science and biology. For problems like handwriting recognition, algorithms that are based on machine learning out perform all other approaches. Both machine learning and data science are interrelated. Data science is an umbrella term to be used for techniques that clean data and extract useful information from data. In field of data science, machine learning algorithms are used frequently to identify valuable knowledge from commercial databases containing records of different industries, financial transactions, medical records, etc. The main objective of this book is to provide an overview on latest advancements in the field of machine learning and data science, with solutions to problems in field of image, video, data and graph processing, pattern recognition, data structuring, data clustering, pattern mining, association rule based approaches, feature extraction techniques, neural networks, bio inspired learning and various machine learning algorithms. .
650		7	_9666321 _aIngeniería asistida por ordenador
650		7	_aDatos masivos _9495511
650		7	_aInteligencia artificial _2embne _9413115
650		7	_aData mining _2embne _9162648
700	1		_aReddy Edla, Damodar. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLingras, Pawan. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n2007019327 _1http://viaf.org/viaf/271050581/
700	1		_aVenkatanareshbabu K. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/274647764/ _9106996
776	0	8	_iEdición impresa: _z9789811085680
776	0	8	_iEdición impresa: _z9789811085703
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-10-8569-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b12/2018 _dz _ea _feng _ggw _h0
999			_c102455 _d102455 _x1