000 04224nam a22004335i 4500
999 _c362276
_d362276
001 362276
003 ES-MaUEC
005 20240111050216.0
006 a||||fo|||| 00| 0
007 cr nn 008mamaa
008 210707s2021 si | s |||| 0|eng d
020 _a9789811627651
024 7 _a10.1007/978-981-16-2765-1
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQ342
_b2021 EB
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
300 _a1 recurso en línea (XXI, 671 páginas)
_b238 ilustraciones, 145 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aSmart Innovation Systems and Technologies
_x2190-3026
_v238
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
700 1 _aCzarnowski, Ireneusz
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_999630
700 _aHowlett, Robert J.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_997149
700 _aJain, Lakhmi C.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_996931
776 0 8 _iPrinted edition:
_z9789811627644
776 0 8 _iPrinted edition:
_z9789811627668
776 0 8 _iPrinted edition:
_z9789811627675
856 4 0 _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)
942 _2lcc
_cLE