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|a 10.1007/978-3-030-51
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|2 23
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| 245 |
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|a Advances in data science :
|b methodologies and applications /
|c Gloria Phillips-Wren, Anna Esposito, Lakhmi C. Jain, editors.
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| 260 |
|
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|a Cham :
|b Springer,
|c [2021].
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| 300 |
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|a 1 online resource.
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| 490 |
1 |
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|a Intelligent systems reference library,
|x 1868-4394 ;
|v 189
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| 504 |
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|a Includes bibliographical references.
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| 505 |
0 |
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|a Intro -- Preface -- Contents -- About the Editors -- 1 Introduction to Big Data and Data Science: Methods and Applications -- 1.1 Introduction -- 1.2 Big Data Management and Analytics Methods -- 1.2.1 Association Rules -- 1.2.2 Decision Trees -- 1.2.3 Classification and Regression -- 1.2.4 Genetic Algorithms -- 1.2.5 Sentiment Analysis -- 1.2.6 Social Network Analysis -- 1.3 Description of Book Chapters -- 1.4 Future Research Opportunities -- 1.5 Conclusions -- References -- 2 Towards Abnormal Behavior Detection of Elderly People Using Big Data -- 2.1 Introduction
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| 505 |
8 |
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|a 2.2 Related Works and Background -- 2.3 Materials and Methods -- 2.3.1 Data Generation -- 2.3.2 Learning Techniques for Abnormal Behavior Detection -- 2.3.3 Experimental Setting -- 2.4 Results and Discussion -- 2.5 Conclusions -- References -- 3 A Survey on Automatic Multimodal Emotion Recognition in the Wild -- 3.1 Introduction to Emotion Recognition -- 3.2 Emotion Representation Models -- 3.2.1 Categorical Emotion Representation -- 3.2.2 Facial Action Coding System -- 3.2.3 Dimensional (Continous) Model -- 3.2.4 Micro-Expressions -- 3.3 Emotion Recognition Based Databases -- 3.4 Challenges
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| 505 |
8 |
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|a 3.5 Visual Emotion Recognition Methods -- 3.5.1 Data Pre-processing -- 3.5.2 Feature Extraction -- 3.5.3 Pooling Methods -- 3.5.4 Deep Learning -- 3.6 Speech Based Emotion Recognition Methods -- 3.7 Text Based Emotion Recognition Methods -- 3.8 Physiological Signals Based Emotion Recognition Methods -- 3.9 Fusion Methods Across Modalities -- 3.10 Applications of Automatic Emotion Recognition -- 3.11 Privacy in Affective Computing -- 3.12 Ethics and Fairness in Automatic Emotion Recognition -- 3.13 Conclusion -- References
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| 505 |
8 |
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|a 4 ``Speech Melody and Speech Content Didn't Fit Together''-Differences in Speech Behavior for Device Directed and Human Directed Interactions -- 4.1 Introduction -- 4.2 Related Work -- 4.3 The Voice Assistant Conversation Corpus (VACC) -- 4.3.1 Experimental Design -- 4.3.2 Participant Characterization -- 4.4 Methods for Data Analyzes -- 4.4.1 Addressee Annotation and Addressee Recognition Task -- 4.4.2 Open Self Report and Open External Report -- 4.4.3 Structured Feature Report and Feature Comparison -- 4.5 Results -- 4.5.1 Addressee Annotation and Addressee Recognition Task
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| 505 |
8 |
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|a 4.5.2 Open Self Report and Open External Report -- 4.5.3 Structured Feature Report and Feature Comparison -- 4.6 Conclusion and Outlook -- References -- 5 Methods for Optimizing Fuzzy Inference Systems -- 5.1 Introduction -- 5.2 Background -- 5.2.1 Fuzzy Inference System -- 5.2.2 Genetic Algorithms -- 5.2.3 Formal Knowledge Representation -- 5.3 Numerical Experiment -- 5.3.1 Data Set Description and Preprocessing -- 5.3.2 FIS Construction -- 5.3.3 GA Construction -- 5.3.4 Results -- 5.4 Advancing the Art -- 5.5 Conclusions -- References
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| 533 |
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|a Electronic reproduction.
|b Ann Arbor, MI
|n Available via World Wide Web.
|
| 650 |
|
0 |
|a Electronic data processing.
|
| 650 |
|
0 |
|a Data mining.
|
| 700 |
1 |
|
|a Phillips-Wren, Gloria E.
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| 700 |
1 |
|
|a Esposito, Anna.
|
| 700 |
1 |
|
|a Jain, L. C.
|
| 710 |
2 |
|
|a ProQuest (Firm)
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| 776 |
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