| Description |
1 online resource (1 volume) : illustrations (black and white, and color) |
| Series |
Intelligent systems reference library ; volume 226 |
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Intelligent systems reference library ; v. 226.
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| Contents |
Intro -- Preface -- Acknowledgements -- Contents -- Contributors -- Part I Methods and Techniques -- 1 A Vertical Fragmentation Method for Multimedia Databases Considering Content-Based Queries -- 1.1 Introduction -- 1.2 Background -- 1.3 State of the Art -- 1.4 Design of CBRVF -- 1.4.1 CBRVF -- 1.4.2 Web Application Design -- 1.5 Results and Discussion -- 1.6 Conclusion and Future Work -- References -- 2 An Approach Based on Process Mining Techniques to Support Software Development -- 2.1 Introduction -- 2.2 Background -- 2.3 Related Work -- 2.4 Framework |
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2.4.1 Phase 1: Event Log Management -- 2.4.2 Phase 2: Process Model Discovery -- 2.4.3 Phase 3: Statistics -- 2.5 Results -- 2.5.1 Case of a Purchase Order Process -- 2.5.2 Case of an Air Quality Monitoring System Process -- 2.6 Conclusions -- References -- 3 Analysis of Canonical Heuristic Methods for the Optimization of an Investment Portfolio -- 3.1 Introduction -- 3.2 Evolutionary Algorithms -- 3.3 Investment Portfolio -- 3.4 Theoretical Scaffolding -- 3.5 Genetic Algorithm -- 3.6 Differential Evolution -- 3.7 Artificial Immunological System -- 3.8 Methodology -- 3.9 Results |
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3.10 Conclusions -- References -- 4 Design of a Dynamic Horizontal Fragmentation Method for Multimedia Databases -- 4.1 Introduction -- 4.2 Background -- 4.3 Related Works -- 4.4 Design of a Dynamic Horizontal Fragmentation Method for Multimedia Databases -- 4.5 Results and Discussion -- 4.6 Conclusion -- References -- 5 Efficient Archiving Method for Handling Preferences in Constrained Multi-objective Evolutionary Optimization -- 5.1 Introduction -- 5.2 Problem Statement -- 5.3 Multi-objective Evolutionary Algorithms -- 5.3.1 Algorithms of Multi-Objective Evolutionary Optimization |
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5.3.2 Preference-Based MOEAs -- 5.3.3 Assessing Performance -- 5.4 Proposal -- 5.4.1 Archiving Regions of Interest -- 5.5 Experimental Step -- 5.5.1 Problems to Be Solved -- 5.5.2 Algorithms for Comparison -- 5.5.3 Parameter Settings -- 5.6 Results and Discussion -- 5.6.1 Results on Unconstrained Problems (DTLZ) -- 5.6.2 Results on Constrained Problems (C-DTLZ) -- 5.6.3 Results on Real-World Multi-Objective Problems -- 5.7 Conclusions and Future Work -- References -- 6 Evaluation of Machine Learning Techniques for Malware Detection -- 6.1 Introduction -- 6.2 Related Work -- 6.3 Background |
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6.3.1 Machine Learning Techniques -- 6.3.2 Measurement -- 6.4 Methodology -- 6.4.1 Data Preprocessing -- 6.4.2 Data Representation -- 6.4.3 Model Training/Testing -- 6.5 Results -- 6.5.1 Data Sets -- 6.5.2 Performance -- 6.6 Conclusions -- References -- 7 Implementation of Reinforcement-Learning Algorithms in Autonomous Robot Navigation -- 7.1 Introduction -- 7.2 Systematic Review of the Literature -- 7.2.1 Heuristic Algorithms -- 7.2.2 Applications of Reinforcement Learning -- 7.2.3 Synthesis and Considerations -- 7.3 Characteristics of Reinforcement Learning Algorithms -- 7.4 Methodology |
| Summary |
This book presents different techniques and methodologies used to improve the intelligent decision-making process and increase the likelihood of success in companies of different sectors such as Financial Services, Education, Supply Chain, Energy Systems, Health Services, and others. The book contains and consolidates innovative and high-quality research contributions regarding the implementation of techniques and methodologies applied in different sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields such as: Logistics, Software Development, Big Data, Internet of Things, Simulation, among others. The book contents are useful for Ph.D. researchers, Ph.D. students, master and undergraduate students of different areas such as Industrial Engineering, Computer Science, Information Systems, Data Analytics, and others |
| Bibliography |
Includes bibliographical references |
| Notes |
Print version record |
| Subject |
Decision making -- Data processing
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Artificial intelligence -- Industrial applications
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Artificial intelligence -- Industrial applications
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Decision making -- Data processing
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| Form |
Electronic book
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| Author |
Zapata-Cortes, Julian Andres, editor
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Sanchez-Ramirez, Cuauhtemoc, 1976- editor.
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Alor-Hernández, Giner, 1977- editor.
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García-Alcaraz, Jorge Luis, editor
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| ISBN |
9783031082467 |
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303108246X |
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