000			03909nam a22003975i 4500
001			111277
003			ES-MaUEC
005			20240111050152.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			181111s2019 si a o |||| 0|eng d
020			_a9789811305443 _9
024	7		_a10.1007/978-981-13-0544-3 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aQ342 _b2019 EB
100	1		_aSatyanarayana, Ch. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aComputational Intelligence and Big Data Analytics : _bApplications in Bioinformatics _cby Ch. Satyanarayana, Kunjam Nageswara Rao, Richard G. Bush.
264		1	_aSingapore _bSpringer Singapore : _bImprint: Springer _c2019.
300			_a1 recurso en línea (VIII, 137 páginas) _b 79 ilustraciones,59 ilustraciones a color
347			_atext file _bPDF
490	0		_aSpringerBriefs in Forensic and Medical Bioinformatics _x2196-8845
505	0		_aNanoinformatics: Predicting toxicity using Computational Modelling -- Stock market Prediction Based on Machine Learning Approaches -- Performance Analysis of Denoising of ECG Signals in Time and Frequency domain -- Design and Implementation of Modified Sparse K-means Clustering Method for Gene Selection -- Identifying driver potential in passenger genes using chemical properties of mutated and surrounding amino acids -- Diagnosis of Chest Diseases Using Artificial Neural networks -- Development of Microminiaturized Intramuscular EMG Writer`s Cramp Signals Micro Electrode Recording System -- FGANN: A Hybrid Approach for Medical Diagnosing -- Data Mining Efficiency and Scalability for Smarter Internet of Things -- Multiple DG Placement and Sizing in Radial Distribution System using Genetic Algorithm and Particle Swarm Optimization -- Neighborhood Algorithm For Product Recommendation -- A Quantitative Analysis of Histogram Equalization based methods on Fundus Images for Diabetic Retinopathy Detection -- A novel level based DNA security algorithm using DNA codons -- A Computational approach to Predict Diabetic Retinopathy through Data Analytics.
520	3		_aThis book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines. The book describes the latest solutions, scientific results and methods in solving intriguing problems in the fields of big data analytics, intelligent agents and computational intelligence. It reflects the state of the art research in the field and novel applications of new processing techniques in computer science. This book is useful to both doctoral students and researchers from computer science and engineering fields and bioinformatics related domains.
650		7	_aInteligencia artificial _2embne _9413115
650		7	_aDatos masivos _9495511 _2embne
700	1		_aRao, Kunjam Nageswara. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aBush, Richard G. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
710	2		_aSpringerLink (Online service) _9106996
776	0	8	_iPrinted edition: _z9789811305436
776	0	8	_iPrinted edition: _z9789811305450
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-0544-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Robotics
998			_aSI _a_alco _a_vill _b09/2019 _cm _dz _ea _feng _ggw _h0
999			_c111277 _d111277 _x1