000			04808nam a22004455i 4500
988			_aSpringer_Robotics_2020
999			_c116952 _d116952 _x1
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003			ES-MaUEC
005			20240111050159.0
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008			190809s2020 gw | s |||| 0|eng d
020			_a9783030257972
024	7		_a10.1007/978-3-030-25797-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .I52 _b2020 EB
245	0	0	_aData visualization and knowledge engineering _bspotting data points with artificial intelligence _cedited by Jude Hemanth, Madhulika Bhatia, Oana Geman
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (VI, 319 páginas) _b213 ilustraciones, 92 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	1		_aLecture Notes on Data Engineering and Communications Technologies _x2367-4512 _v32
490	0		_aTechnologies and Robotics (Springer-42732)
505	0		_aCross Projects Defect Prediction Modeling -- Recommendation Systems for Interactive Multimedia Entertainment -- Image Collection Summarization: Past, Present and Future -- Semantic Web and Data Visualization -- Analysis and Visualization of User Navigations on Web -- Research Trends for Named Entity Recognition in Hindi Language -- Data Visualization Techniques, Model and Taxonomy -- Prevalence of Visualization Techniques in Data Mining -- Relevant Subsection Retrieval for Law Domain Question Answer System -- Brain Tumor Segmentation Using OTSU Embedded Adaptive Particle Swarm Optimization Method and Convolutional Neural Network -- Challenges and Responses Towards Sustainable Future through Machine Learning and Deep learning -- A Deep Dive into Supervised Extractive and Abstractive Summarization from Text.
520	3		_aThis book presents the fundamentals and advances in the field of data visualization and knowledge engineering, supported by case studies and practical examples. Data visualization and engineering has been instrumental in the development of many data-driven products and processes. As such the book promotes basic research on data visualization and knowledge engineering toward data engineering and knowledge. Visual data exploration focuses on perception of information and manipulation of data to enable even non-expert users to extract knowledge. A number of visualization techniques are used in a variety of systems that provide users with innovative ways to interact with data and reveal patterns. A variety of scalable data visualization techniques are required to deal with constantly increasing volume of data in different formats. Knowledge engineering deals with the simulation of the exchange of ideas and the development of smart information systems in which reasoning and knowledge play an important role. Presenting research in areas like data visualization and knowledge engineering, this book is a valuable resource for students, scholars and researchers in the field. Each chapter is self-contained and offers an in-depth analysis of real-world applications. It discusses topics including (but not limited to) spatial data visualization; biomedical visualization and applications; image/video summarization and visualization; perception and cognition in visualization; visualization taxonomies and models; abstract data visualization; information and graph visualization; knowledge engineering; human-machine cooperation; metamodeling; natural language processing; architectures of database, expert and knowledge-based systems; knowledge acquisition methods; applications, case studies and management issues: data administration issues and knowledge; tools for specifying and developing data and knowledge bases using tools based on communication aspects involved in implementing, designing and using KBSs in cyberspace; Semantic Web.
650		7	_2embne _aSistemas de visualización de información _9145622
650		7	_2embne _aIngeniería _9670301
650		7	_2embne _aInteligencia artificial _9413115
700	1		_aHemanth, Jude _eeditor _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBhatia, Madhulika _eeditor _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGeman, Oana _eeditor _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030257965
776	0	8	_iPrinted edition: _z9783030257989
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-25797-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_dz _feng _ggw _h0 _b01/2020 _eel _zSI