Big Data Analytics and Knowledge Discovery

Table of Contents

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   Book Overview
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   Chapter 1 Analyzing the Research Landscape of DaWaK Papers from 1999 to 2019
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   Chapter 2 DHE$$^{2}$$: Distributed Hybrid Evolution Engine for Performance Optimizations of Computationally Intensive Applications
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   Chapter 3 Grand Reports: A Tool for Generalizing Association Rule Mining to Numeric Target Values
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   Chapter 4 Expected vs. Unexpected: Selecting Right Measures of Interestingness
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   Chapter 5 SONDER: A Data-Driven Methodology for Designing Net-Zero Energy Public Buildings
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   Chapter 6 Reverse Engineering Approach for NoSQL Databases
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   Chapter 7 HANDLE - A Generic Metadata Model for Data Lakes
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   Chapter 8 A SAT-Based Approach for Mining High Utility Itemsets from Transaction Databases
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    Chapter 9 High-Utility Interval-Based Sequences
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    Chapter 10 Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification
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    Chapter 11 Framework to Optimize Data Processing Pipelines Using Performance Metrics
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    Chapter 12 A Scalable Randomized Algorithm for Triangle Enumeration on Graphs Based on SQL Queries
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    Chapter 13 Data Engineering for Data Science: Two Sides of the Same Coin
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    Chapter 14 Mining Attribute Evolution Rules in Dynamic Attributed Graphs
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    Chapter 15 Sustainable Development Goal Relational Modelling: Introducing the SDG-CAP Methodology
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    Chapter 16 Mining Frequent Seasonal Gradual Patterns
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    Chapter 17 Derivative, Regression and Time Series Analysis in SARS-CoV-2
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    Chapter 18 Building a Competitive Associative Classifier
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    Chapter 19 Contrastive Explanations for a Deep Learning Model on Time-Series Data
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    Chapter 20 Cyberbullying Detection in Social Networks Using Deep Learning Based Models
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    Chapter 21 Predicting Customer Churn for Insurance Data
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    Chapter 22 Scalable Machine Learning on Popular Analytic Languages with Parallel Data Summarization
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    Chapter 23 Which Bills Are Lobbied? Predicting and Interpreting Lobbying Activity in the US
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    Chapter 24 FIBS: A Generic Framework for Classifying Interval-Based Temporal Sequences
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    Chapter 25 Multivariate Time Series Classification: A Relational Way
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    Chapter 26 Behave or Be Detected! Identifying Outlier Sequences by Their Group Cohesion
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    Chapter 27 Detecting Anomalies in Production Quality Data Using a Method Based on the Chi-Square Test Statistic
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    Chapter 28 Learning from Past Observations: Meta-Learning for Efficient Clustering Analyses
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    Chapter 29 Parallel K-Prototypes Clustering with High Efficiency and Accuracy
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    Chapter 30 Self-Organizing Map for Multi-view Text Clustering