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Intelligent Decision Technologies

Proceedings of the 13th KES-IDT 2021 Conference

Specificaties
Paperback, blz. | Engels
Springer Nature Singapore | e druk, 2022
ISBN13: 9789811627675
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Springer Nature Singapore e druk, 2022 9789811627675
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Samenvatting

This 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 asAdvances in intelligent data processing and its applicationsMulti-criteria decision analysis methodsKnowledge engineering in large-scale systemsHigh-dimensional data analysisSpatial data analysis and sparse estimationInnovative technologies and applications in computer intelligenceIntelligent diagnosis and monitoring of systemsDecision making theory for economics.

 

Specificaties

ISBN13:9789811627675
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Singapore

Inhoudsopgave

<p>ArgVote: Which Party Argues Like Me? Exploring an Argument-Based Voting Advice&nbsp;Application.- ArgVote: Which Party Argues Like Me? Exploring an Argument-Based Voting Advice&nbsp;Application.- Impact of the Time Window Length on the Ship Trajectory Reconstruction Based on&nbsp;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.</p><p></p>

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