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020 _a9783319776040
024 7 _a10.1007/978-3-319-77604-0
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aTA347 .A78
_b2019 EB
245 0 0 _aIntelligent methods and big data in industrial applications
_cedited by Robert Bembenik, Łukasz Skonieczny, Grzegorz Protaziuk, Marzena Kryszkiewicz, Henryk Rybinski
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2019
300 _a1 recurso en línea (XV, 376 páginas)
_b124 ilustraciones, 70 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2rda
490 0 _aStudies in Big Data
_x2197-6503
_v40
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aNonlinear forecasting of energy futures -- Implementation of Generic Steering Algorithms for AI Agents in Computer Games -- The Dilemma of InnovationArticial Intelligence Trade-off -- Can we build recommender system for artwork evaluation?- Modelling OpenStreepMap data for determination of the fastest route under varying driving conditions -- Evolution algorithm for community detection in social networks using node centrality -- High Performance Computing By The Crowd -- Zero-overhead monitoring of remote terminal devices -- Asynchronous Specication of Production Cell Benchmark in Integrated Model of Distributed Systems -- Implementing the Bus Protocol of a Microprocessor in a Software-Dened Computer -- ISMIS 2017 Data Mining Competition: TradingBased on Recommendations - XGBoost approach with feature engineering -- Fast Discovery of Generalized Sequential Patterns -- Seismic attributes similarity in facies classication -- Ecient Discovery of Sequential Patterns from Event-Based Spatio-Temporal Data by Applying Microclustering Approach -- Unsupervised machine learning in classication of neurobiological data -- Incorporating Fuzzy Logic in Object-Relational Mapping Layer for Flexible Medical Screenings -- Multimodal learning determines rules of disease development in longitudinal course with Parkinson's patients -- Comparison of Methods for Real and Imaginary Motion Classication from EEG Signals -- Procedural Generation of Multilevel Dungeons for Application in Computer Games using Schematic Maps and L-system -- An HMM-Based Framework for Supporting Accurate Classication of Music Datasets -- Classication of musical genres by means of listening tests and decision algorithms -- Handwritten signature verication system employing wireless biometric pen -- Towards Entity Timeline Analysis in Polish Political News -- Automatic Legal Document Analysis: Improving the Results of Information Extraction Processes using an Ontology -- To improve, or not to improve; how changes in corpora inuence the results of machine learning tasks on the example of datasets used for paraphrase identication -- Context Sensitive Sentiment Analysis of Financial Tweets: A New Dictionary.
520 3 _aThe inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent computational methods and big data foster innovation and enable the industry to overcome technological limitations and explore the new frontiers. Therefore it is necessary for scientists and practitioners to cooperate and inspire each other, and use the latest research findings to create new designs and products. As such, the contributions cover solutions to the problems experienced by practitioners in the areas of artificial intelligence, complex systems, data mining, medical applications and bioinformatics, as well as multimedia- and text processing. Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems. .
988 _aPrimersemestre_2019_Robotics
650 7 _2embne
_aInteligencia artificial
_xAplicaciones industriales
_9413115
650 7 _2embne
_aIngeniería
_xInnovaciones tecnológicas
_9670301
650 7 _2embne
_9495511
_aDatos masivos
700 1 _aBembenik, Robert.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSkonieczny, Łukasz.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aProtaziuk, Grzegorz.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aKryszkiewicz, Marzena
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_998847
700 1 _aRybinski, Henryk.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_998848
776 0 8 _iPrinted edition:
_z9783319776033
776 0 8 _iPrinted edition:
_z9783319776057
776 0 8 _iPrinted edition:
_z9783030084929
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-77604-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
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998 _aSI
_cm
_dz
_feng
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_h0
_b10/2019
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