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Big Data Analytics and Knowledge Discovery

Overview of attention for book
Big Data Analytics and Knowledge Discovery
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 An Integration of TextGCN and Autoencoder into Aspect-Based Sentiment Analysis
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    Chapter 2 OpBerg: Discovering Causal Sentences Using Optimal Alignments
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    Chapter 3 Text-Based Causal Inference on Irony and Sarcasm Detection
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    Chapter 4 Sarcastic RoBERTa: A RoBERTa-Based Deep Neural Network Detecting Sarcasm on Twitter
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    Chapter 5 A Fast NDFA-Based Approach to Approximate Pattern-Matching for Plagiarism Detection in Blockchain-Driven NFTs
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    Chapter 6 On Decisive Skyline Queries
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    Chapter 7 Safeness: Suffix Arrays Driven Materialized View Selection Framework for Large-Scale Workloads
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    Chapter 8 A Process Warehouse for Process Variants Analysis
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    Chapter 9 Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data
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    Chapter 10 Multi-label Online Streaming Feature Selection Algorithms via Extending Alpha-Investing Strategy
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    Chapter 11 Feature Selection Under Fairness and Performance Constraints
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    Chapter 12 Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines
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    Chapter 13 Pathology Data Prioritisation: A Study Using Multi-variate Time Series
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    Chapter 14 Outlier/Anomaly Detection of Univariate Time Series: A Dataset Collection and Benchmark
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    Chapter 15 Automatic Machine Learning-Based OLAP Measure Detection for Tabular Data
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    Chapter 16 Discovering Overlapping Communities Based on Cohesive Subgraph Models over Graph Data
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    Chapter 17 Discovery of Keys for Graphs
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    Chapter 18 OPTIMA: Framework Selecting Optimal Virtual Model to Query Large Heterogeneous Data
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    Chapter 19 Q-VIPER: Quantitative Vertical Bitwise Algorithm to Mine Frequent Patterns
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    Chapter 20 Enhanced Sliding Window-Based Periodic Pattern Mining from Dynamic Streams
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    Chapter 21 Explainable Recommendations for Wearable Sensor Data
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    Chapter 22 SLA-Aware Cloud Query Processing with Reinforcement Learning-Based Multi-objective Re-optimization
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    Chapter 23 Mahalanobis Distance Based K-Means Clustering
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    Chapter 24 Grapevine Phenology Prediction: A Comparison of Physical and Machine Learning Models
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