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| 008 | 210707s2021 si | s |||| 0|eng d | ||
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_a10.1007/978-981-16-2765-1 _2doi |
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_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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_aQ342 _b2021 EB |
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| 245 | 1 | 0 |
_aIntelligent Decision Technologies : _bProceedings of the 13th KES-IDT 2021 Conference _cedited by Ireneusz Czarnowski, Robert J. Howlett, Lakhmi C. Jain. |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aSingapore _bSpringer International Pulishing _c2021 |
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| 300 |
_a1 recurso en línea (XXI, 671 páginas) _b238 ilustraciones, 145 ilustraciones a color |
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_2rdacontent _aTexto _btxt |
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_2rdamedia _aelectrónico _bc |
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_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aarchivo de texto _bPDF |
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_aSmart Innovation Systems and Technologies _x2190-3026 _v238 |
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| 490 | 0 | _aIntelligent Technologies and Robotics (SpringerNature-42732) | |
| 490 | 0 | _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728) | |
| 505 | 0 | _aArgVote: Which Party Argues Like Me? Exploring an Argument-Based Voting Advice Application -- ArgVote: Which Party Argues Like Me? Exploring an Argument-Based Voting Advice Application -- Impact of the Time Window Length on the Ship Trajectory Reconstruction Based on AIS Data Clustering -- Improved Genetic Algorithm for Electric Vehicle Charging Station Placement -- Solving a Many-objective Crop Rotation Problem with Evolutionary Algorithms -- The Utility of Neural Model in Predicting Tax Avoidance Behavior -- Triple-Station System of Detecting Small Airborne Objects in Dense Urban Environment -- Using Families of Extremal Quasi-Orthogonal Matrices in Communication Systems -- Variable Selection for Correlated High-dimensional Data with Infrequent Categorical Variables: Based on Sparse Sample Regression and Anomaly Detection Technology -- Verification of the Compromise Effect's Suitability Based on Product Features of Automobiles. | |
| 520 | 3 | _aThis book contains selected papers from the KES-IDT-2021 conference, being held as a virtual conference in June 14-16, 2021. The KES-IDT is an interdisciplinary conference with opportunities for the presentation of new research results and discussion about them under the common title "Intelligent Decision Technologies". The conference has been creating for years a platform for knowledge transfer and the generation of new ideas in the field of intelligent decision making. The range of topics discussed during the conference covered methods of classification, prediction, data analysis, big data, decision support, knowledge engineering, modeling, social networks and many more in areas such as finance, economy, management and transportation. The discussed topics covered also decision making for problems regarding the electric vehicle industry. The book contains also several sections devoted to specific topics, such as Advances in intelligent data processing and its applications Multi-criteria decision analysis methods Knowledge engineering in large-scale systems High-dimensional data analysis Spatial data analysis and sparse estimation Innovative technologies and applications in computer intelligence Intelligent diagnosis and monitoring of systems Decision making theory for economics. | |
| 988 | _aSpringer_Robotics_2021 | ||
| 650 | 7 |
_2embne _aInteligencia artificial _9413115 |
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| 700 | 1 |
_aCzarnowski, Ireneusz _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _999630 |
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| 700 |
_aHowlett, Robert J. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _997149 |
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| 700 |
_aJain, Lakhmi C. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _996931 |
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_iPrinted edition: _z9789811627644 |
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_iPrinted edition: _z9789811627668 |
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_iPrinted edition: _z9789811627675 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-2765-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_2lcc _cLE |
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