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Big Data Analytics and Knowledge Discovery

Overview of attention for book
Big Data Analytics and Knowledge Discovery
Springer Nature Switzerland

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
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Title
Big Data Analytics and Knowledge Discovery
Published by
Springer Nature Switzerland, September 2023
DOI 10.1007/978-3-031-39831-5
ISBNs
978-3-03-139830-8, 978-3-03-139831-5
Editors

Wrembel, Robert, Gamper, Johann, Kotsis, Gabriele, Tjoa, A Min, Khalil, Ismail

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