Integrated Uncertainty in Knowledge Modelling and Decision Making

Table of Contents

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   Book Overview
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   Chapter 1 Inference Problem in Probabilistic Multi-label Classification
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   Chapter 2 A Federated Learning Model for Linear Fuzzy Clustering with Least Square Criterion
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   Chapter 3 Joint Multiple Efficient Neighbors and Graph Learning for Multi-view Clustering
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   Chapter 4 Maximum-Margin Nearest Prototype Classifiers with the Sum-over-Others Loss Function and a Performance Evaluation
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   Chapter 5 Predicting Stock Price Fluctuations Considering the Sunny Effect
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   Chapter 6 Proposal of a New Classification Method Using Rule Table and Its Consideration
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   Chapter 7 TouriER: Temporal Knowledge Graph Completion by Leveraging Fourier Transforms
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   Chapter 8 Machine Learned KPI Goal Preferences for Explainable AI based Production Sequencing
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    Chapter 9 Unearthing Undiscovered Interests: Knowledge Enhanced Representation Aggregation for Long-Tail Recommendation
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    Chapter 10 A Novel Methodology for Real-Time Face Mask Detection Using PSO Optimized CNN Technique
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    Chapter 11 A Computer Vision-Based Framework for Behavior Monitoring and Estrus Detection Through Dynamic Behavioral Analysis
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    Chapter 12 Information Fusion for Enhancing Presentation Attack Detection in Iris Recognition
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    Chapter 13 Score-Level Fusion Based on Classification Tree for Improving Iris Verification Systems
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    Chapter 14 Controlling LIME Kernel Width to Achieve Comprehensible Explanations on Tabular Data
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    Chapter 15 Rockfall Isolation Technique Based on DC-DBSCAN with  k -Means Clustering and  k -Nearest Neighbors Algorithm
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    Chapter 16 A Novel Noise Clustering Based on Local Outlier Factor
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    Chapter 17 On Some Fuzzy Clustering Algorithms Based on Series Models
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    Chapter 18 On Some Fuzzy Clustering for Series Data
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    Chapter 19 Collaborative Filtering Based on Rough C-Means Clustering with Missing Value Processing
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    Chapter 20 Collaborative Filtering Based on Probabilistic Rough Set C-Means Clustering
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    Chapter 21 Identifying Topics on Social Impact from S&P1500 CSR/ESG Reports
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    Chapter 22 Descriptor-Based Information Systems and Rule Learning from Different Types of Data Sets with Uncertainty
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    Chapter 23 MFG-HUI: An Efficient Algorithm for Mining Frequent Generators of High Utility Itemsets
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    Chapter 24 Negative Sentiments Make Review Sentences Longer: Evidence from Japanese Hotel Review Sites
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    Chapter 25 Extending Kryszkiewicz’s Formula of Missing Values in Terms of Lipski’s Approach
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    Chapter 26 Sustainable Perishable Food Distribution: Fresh Consumption and Waste Justice
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    Chapter 27 A Novel Privacy-Preserving Federated Learning Model Based on Secure Multi-party Computation
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    Chapter 28 An Elliptic Curve-Based Privacy-Preserving Recommender System
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    Chapter 29 A Method Against Adversarial Attacks to Enhance the Robustness of Deep Learning Models
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    Chapter 30 Orand - A Fast, Publicly Verifiable, Scalable Decentralized Random Number Generator Based on Distributed Verifiable Random Functions