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Big Data Analytics and Knowledge Discovery

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Cover of 'Big Data Analytics and Knowledge Discovery'

Table of Contents

  1. Altmetric Badge
    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
Attention for Chapter 19: Contrastive Explanations for a Deep Learning Model on Time-Series Data
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Chapter title
Contrastive Explanations for a Deep Learning Model on Time-Series Data
Chapter number 19
Book title
Big Data Analytics and Knowledge Discovery
Published by
Springer, Cham, September 2020
DOI 10.1007/978-3-030-59065-9_19
Book ISBNs
978-3-03-059064-2, 978-3-03-059065-9
Authors

Jokin Labaien, Ekhi Zugasti, Xabier De Carlos, Labaien, Jokin, Zugasti, Ekhi, De Carlos, Xabier

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Student > Master 4 19%
Researcher 3 14%
Student > Doctoral Student 1 5%
Other 1 5%
Other 1 5%
Unknown 6 29%
Readers by discipline Count As %
Computer Science 8 38%
Engineering 2 10%
Economics, Econometrics and Finance 1 5%
Business, Management and Accounting 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 7 33%