000			04418nam a22004575i 4500
710	2		_aSpringerLink (Online service) _9106996
999			_c118605 _d118605
001			118605
003			ES-MaUEC
005			20230102113902.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			191204s2020 gw a o |||| 0|eng d
020			_a9783030360566
024	7		_a10.1007/978-3-030-36056-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.S63 _b2020 EB
245	0	0	_aRecent Advances on Soft Computing and Data Mining. _bProceedings of the Fourth International Conference on Soft Computing and Data Mining (SCDM 2020), Melaka, Malaysia, January 22-⁠23, 2020 _cedited by Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris, Jemal H. Abawajy.
250			_a1st ed. 2020.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2020.
300			_a1 recurso en línea (XVII, 481 páginas) _b210 ilustraciones, 156 ilustraciones a color.
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aAdvances in Intelligent Systems and Computing _x2194-5357 _v978
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aChapter 1: An Enhanced Model for Digital Reference Services (MDRS) -- Chapter 2: Fuzzy Random Based Mean Variance Model For Agricultural Production Planning -- Chapter 3: Residual Neural Network vs Local Binary Convolutional Neural Networks for Bilingual Handwritten Digit Recognition -- Chapter 4: Incorporating the Markov Chain Model in WBSN for Improving Patients' Remote Monitoring Systems -- Chapter 5: Designing Deep Neural Network with Chicken Swarm Optimization for Violence Video Classification using VSD2014 Dataset -- Chapter 6: Header Based Email Spam Detection Framework Using Support Vector Machine (SVM) Technique -- Chapter 7: A Mechanism to Support Agile Frameworks Enhancing Reliability Assessment for SCS Development: A Case Study of Medical Surgery Departments -- Chapter 8: Link Bandwidth Recommendation for Indonesian E-Health Grid -- Chapter 9: Investigating the Optimal Parameterization of Deep Neural Network and Synthetic Data Workflow for Imbalance Liver Disorder Dataset Classification -- Chapter 10: Genetic Algorithm Based Parallel K-Means Data Clustering Algorithm Using MapReduce Programming Paradigm on Hadoop Environment (GAPKCA) -- Chapter 11: Android Botnet Detection by Classification Techniques.
520	3		_aThis book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies. It discusses data-analytical thinking, which is essential to extract useful knowledge and obtain commercial value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad interdisciplinary range of scientific methods and processes. The book provides readers with sufficient knowledge to tackle a wide range of issues in complex systems, bringing together the scopes that integrate soft computing and data mining in various combinations of applications and practices, since to thrive in these data-driven ecosystems, researchers, data analysts and practitioners must understand the design choice and options of these approaches. This book helps readers to solve complex benchmark problems and to better appreciate the concepts, tools and techniques used.
988			_aPrimersemestre_2020_Robotics
650		7	_2embne _9166276 _aSoft Computing _vCongresos y asambleas
700	1		_aGhazali, Rozaida. _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aNawi, Nazri Mohd. _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aDeris, Mustafa Mat. _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aAbawajy, Jemal H. _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783030360559
776	0	8	_iPrinted edition: _z9783030360573
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-36056-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2020 _dz _ek _zSI