Big Data Analytics and Knowledge Discovery

Table of Contents

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   Book Overview
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   Chapter 1 Using Ontologies as Context for Data Warehouse Quality Assessment
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   Chapter 2 Preventing Technical Errors in Data Lake Analyses with Type Theory
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   Chapter 3 EXOS: Explaining Outliers in Data Streams
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   Chapter 4 Motif Alignment for Time Series Data Augmentation
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   Chapter 5 State-Transition-Aware Anomaly Detection Under Concept Drifts
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   Chapter 6 Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations
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   Chapter 7 The Synergies of Context and Data Aging in Recommendations
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   Chapter 8 Hypergraph Embedding Based on Random Walk with Adjusted Transition Probabilities
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    Chapter 9 Contextual Shift Method (CSM)
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    Chapter 10 Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining
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    Chapter 11 Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables
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    Chapter 12 DBGAN: A Data Balancing Generative Adversarial Network for Mobility Pattern Recognition
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    Chapter 13 Bitwise Vertical Mining of Minimal Rare Patterns
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    Chapter 14 Inter-item Time Intervals in Sequential Patterns
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    Chapter 15 Fair-DSP: Fair Dynamic Survival Prediction on Longitudinal Electronic Health Record
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    Chapter 16 DAT@Z21: A Comprehensive Multimodal Dataset for Rumor Classification in Microblogs
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    Chapter 17 Dealing with Data Bias in Classification: Can Generated Data Ensure Representation and Fairness?
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    Chapter 18 Random Hypergraph Model Preserving Two-Mode Clustering Coefficient
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    Chapter 19 A Non-overlapping Community Detection Approach Based on  $$\alpha $$ α -Structural Similarity
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    Chapter 20 Improving Stochastic Gradient Descent Initializing with Data Summarization
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    Chapter 21 Feature Analysis of Regional Behavioral Facilitation Information Based on Source Location and Target People in Disaster
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    Chapter 22 Exploring Dialog Act Recognition in Open Domain Conversational Agents
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    Chapter 23 UniCausal: Unified Benchmark and Repository for Causal Text Mining
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    Chapter 24 Accounting for Imputation Uncertainty During Neural Network Training
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    Chapter 25 Supervised Hybrid Model for Rumor Classification: A Comparative Study of Machine and Deep Learning Approaches
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    Chapter 26 Attention-Based Counterfactual Explanation for Multivariate Time Series
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    Chapter 27 DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework
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    Chapter 28 Hierarchical Graph Neural Network with Cross-Attention for Cross-Device User Matching
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    Chapter 29 Unified Views for Querying Heterogeneous Multi-model Polystores
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    Chapter 30 RODD: Robust Outlier Detection in Data Cubes
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    Chapter 31 Data-driven and On-Demand Conceptual Modeling
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    Chapter 32 FLOWER: Viewing Data Flow in ER Diagrams
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    Chapter 33 Supporting Big Healthcare Data Management and Analytics: The Cloud-Based QFLS Framework
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    Chapter 34 Beyond Traditional Flare Forecasting: A Data-driven Labeling Approach for High-fidelity Predictions
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    Chapter 35 HKS: Efficient Data Partitioning for Stateful Streaming
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    Chapter 36 A Fine-Grained Structural Partitioning Approach to Graph Compression