000			04450nam a22004215i 4500
999			_c102702 _d102702
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003			DE-He213
005			20240111050142.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			180223s2018 gw | s |||| 0|eng d
020			_a9783319760810
024	7		_a10.1007/978-3-319-76081-0 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ342 _b2018 EB
245	1	0	_aModern Approaches for Intelligent Information and Database Systems _cedited by Andrzej Sieminski, Adrianna Kozierkiewicz, Manuel Nunez, Quang Thuy Ha.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XIII, 541 páginas 197 ilustraciones, 162 ilustraciones a color)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence _x1860-949X _v769
490	0		_aEngineering (Springer-11647)
505	0		_aPart I: Knowledge Engineering and Semantic Web -- A Three-stage Consensus-based Method for Collective Knowledge Determination -- Fuzzy Ontology Modeling by Utilizing Fuzzy Set and Fuzzy Description Logic -- An Approach for Recommending Group Experts on Question and Answering Sites -- A method for uncertainty elicitation of experts using belief function -- Storing Hypergraph-based Data Models in Non-hypergraph Data Storage -- Part II: Natural Language Processing and Text Mining -- A Fuzzy Logic Approach to Predict the Popularity of a Presidential Candidate -- DNA Sequences Representation Derived from Discrete Wavelet Transformation for Text Similarity Recognition -- Tweet integration by finding the shortest paths on a word graph -- Event detection in Twitter: Methodological Evaluation and Structural Analysis of the Bibliometric Data -- Combination of inner approach and context-based approach for extracting feature of medical record data -- A Novel Method to Predict Type for DBpedia Entity -- Context-Based Personalized Predictors of the Length of Written Responses to Open-ended Questions of Elementary School Students -- Part III: Machine Learning and Data Mining -- Robust Scale-Invariant Normalization and Similarity Measurement for Time Series Data.
520	3		_aThis book offers a unique blend of reports on both theoretical models and their applications in the area of Intelligent Information and Database Systems. The reports cover a broad range of research topics, including advanced learning techniques, knowledge engineering, Natural Language Processing (NLP), decision support systems, Internet of things (IoT), computer vision, and tools and techniques for Intelligent Information Systems. They are extended versions of papers presented at the ACIIDS 2018 conference (10th Asian Conference on Intelligent Information and Database Systems), which was held in Dong Hoi City, Vietnam on 19-21 March 2018. What all researchers and students of computer science need is a state-of-the-art report on the latest trends in their respective areas of interest. Over the years, researchers have proposed increasingly complex theoretical models, which provide the theoretical basis for numerous applications. The applications, in turn, have a profound influence on virtually every aspect of human activities, while also allowing us to validate the underlying theoretical concepts.
988			_aEBSPRINGER_2018
650		7	_2embne _aInteligencia artificial _9413115
700	1		_aSieminski, Andrzej. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/51059364/
700	1		_aKozierkiewicz, Adrianna. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/317158053/
700	1		_aNunez, Manuel. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/95256735/ _915563
700	1		_aHa, Quang Thuy. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/nb2008027191 _1http://viaf.org/viaf/61079951/
776	0	8	_iEdición impresa: _z9783319760803
776	0	8	_iEdición impresa: _z9783319760827
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-76081-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2019 _dz _ep _feng _ggw _h0