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020			_a9783030392505
024	7		_a10.1007/978-3-030-39250-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ342 _b2020 EB
245	0	0	_aData Science : _bNew Issues, Challenges and Applications _cedited by Gintautas Dzemyda, Jolita Bernatavičienė, Janusz Kacprzyk.
250			_aFirst edition 2020.
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XVIII, 313 páginas) _b126 ilustraciones, 59 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aStudies in Computational Intelligence _x1860-949X _v869
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aObject Detection in Aerial Photos Using Neural Networks -- Modelling and Control of Human Response to a Dynamic Virtual 3D Face -- Knowledge-Based Transformation Algorithms of UML Dynamic Models Generation from Enterprise Model -- An Approach for Networking of Wireless Sensors and Embedded Systems Applied for Monitoring of Environment Data -- Non-Standard Distances in High Dimensional Raw Data Stream Classification -- Data Analysis in Setting Action Plans of Telecom Operators -- Extending Model-Driven Development Process with Causal Modeling Approach -- Discrete Competitive Facility Location by Ranking Candidate Locations -- Investigating Feature Spaces for Isolated Word Recognition -- Developing Algorithmic Thinking Through Computational Making -- Improving Objective Speech Quality Indicators in Noise Conditions -- Investigation of User Vulnerability in Social Networking Site -- Zerocross Density Decomposition: a Novel Signal Decomposition Method -- DSS - A Class of Evolving Information Systems -- A Deep Knowledge-Based Evaluation of Enterprise Applications Interoperability -- Sentiment-Based Decision Making Model for Financial Markets.
520	3		_aThis book contains 16 chapters by researchers working in various fields of data science. They focus on theory and applications in language technologies, optimization, computational thinking, intelligent decision support systems, decomposition of signals, model-driven development methodologies, interoperability of enterprise applications, anomaly detection in financial markets, 3D virtual reality, monitoring of environmental data, convolutional neural networks, knowledge storage, data stream classification, and security in social networking. The respective papers highlight a wealth of issues in, and applications of, data science. Modern technologies allow us to store and transfer large amounts of data quickly. They can be very diverse - images, numbers, streaming, related to human behavior and physiological parameters, etc. Whether the data is just raw numbers, crude images, or will help solve current problems and predict future developments, depends on whether we can effectively process and analyze it. Data science is evolving rapidly. However, it is still a very young field. In particular, data science is concerned with visualizations, statistics, pattern recognition, neurocomputing, image analysis, machine learning, artificial intelligence, databases and data processing, data mining, big data analytics, and knowledge discovery in databases. It also has many interfaces with optimization, block chaining, cyber-social and cyber-physical systems, Internet of Things (IoT), social computing, high-performance computing, in-memory key-value stores, cloud computing, social computing, data feeds, overlay networks, cognitive computing, crowdsource analysis, log analysis, container-based virtualization, and lifetime value modeling. Again, all of these areas are highly interrelated. In addition, data science is now expanding to new fields of application: chemical engineering, biotechnology, building energy management, materials microscopy, geographic research, learning analytics, radiology, metal design, ecosystem homeostasis investigation, and many others. .
988			_aSpringer_Robotics_31032020
650		7	_2embne _aInteligencia artificial _9413115
650		7	_2embne _aData mining _9162648
650		7	_2embne _9495511 _aDatos masivos
700	1		_aDzemyda, Gintautas _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBernatavičienė, Jolita _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKacprzyk, Janusz _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030392499
776	0	8	_iPrinted edition: _z9783030392512
776	0	8	_iPrinted edition: _z9783030392529
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-39250-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2020 _dz _ek _zSI