Database and Expert Systems Applications

Table of Contents

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   Book Overview
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   Chapter 1 Jointly Learning Propagating Features on the Knowledge Graph for Movie Recommendation
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   Chapter 2 Syntax-Informed Question Answering with Heterogeneous Graph Transformer
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   Chapter 3 Automated Process Knowledge Graph Construction from BPMN Models
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   Chapter 4 CAKE: A Context-Aware Knowledge Embedding Model of Knowledge Graph
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   Chapter 5 The Digitalization of Bioassays in the Open Research Knowledge Graph
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   Chapter 6 Privacy Issues in Smart Grid Data: From Energy Disaggregation to Disclosure Risk
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   Chapter 7 CoK: A Survey of Privacy Challenges in Relation to Data Meshes
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   Chapter 8 Why- and How-Provenance in Distributed Environments
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    Chapter 9 Provenance-Based SPARQL Query Formulation
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    Chapter 10 Anonymisation of Heterogeneous Graphs with Multiple Edge Types
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    Chapter 11 A Divergent Index Advisor Using Deep Reinforcement Learning
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    Chapter 12 Deep Active Learning Framework for Crowdsourcing-Enhanced Image Classification and Segmentation
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    Chapter 13 Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning
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    Chapter 14 DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning
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    Chapter 15 Context Iterative Learning for Aspect-Level Sentiment Classification
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    Chapter 16 EcoLight: Eco-friendly Traffic Signal Control Driven by Urban Noise Prediction
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    Chapter 17 Mining Fluctuation Propagation Graph Among Time Series with Active Learning
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    Chapter 18 Towards Efficient Human Action Retrieval Based on Triplet-Loss Metric Learning
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    Chapter 19 KAPP: Knowledge-Aware Hierarchical Attention Network for Popularity Prediction
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    Chapter 20 A Heterogeneous Network Representation Learning Approach for Academic Behavior Prediction
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    Chapter 21 A Market Segmentation Aware Retail Itemset Placement Framework
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    Chapter 22 Label Selection Algorithm Based on Iteration Column Subset Selection for Multi-label Classification
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    Chapter 23 Accurately Predicting User Registration in Highly Unbalanced Real-World Datasets from Online News Portals
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    Chapter 24 Word Alignment Based Transformer Model for XML Structured Documentation Translation
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    Chapter 25 Detecting Simpson’s Paradox: A Machine Learning Perspective
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    Chapter 26 A Learned Prefix Bloom Filter for Spatial Data
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    Chapter 27 ReferEmo: A Referential Quasi-multimodal Model for Multilabel Emotion Classification
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    Chapter 28 Community Detection in Attributed Networks via Kernel-Based Effective Resistance and Attribute Similarity
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    Chapter 29 Self-supervised Learning for Building Damage Assessment from Large-Scale xBD Satellite Imagery Benchmark Datasets
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    Chapter 30 What Logical Model Is Suitable for Relational Trajectory Data Warehouses?
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    Chapter 31 BPF: An Effective Cluster Boundary Points Detection Technique
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    Chapter 32 Hypergraphs as Conflict-Free Partially Replicated Data Types
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    Chapter 33 A Method for Summarizing Trajectories with Multiple Aspects
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    Chapter 34 Quality Versus Speed in Energy Demand Prediction