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Machine Learning and Knowledge Extraction

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Cover of 'Machine Learning and Knowledge Extraction'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Current Advances, Trends and Challenges of Machine Learning and Knowledge Extraction: From Machine Learning to Explainable AI
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    Chapter 2 A Modified Particle Swarm Optimization Algorithm for Community Detection in Complex Networks
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    Chapter 3 Mouse Tracking Measures and Movement Patterns with Application for Online Surveys
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    Chapter 4 Knowledge Compilation Techniques for Model-Based Diagnosis of Complex Active Systems
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    Chapter 5 Recognition of Handwritten Characters Using Google Fonts and Freeman Chain Codes
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    Chapter 6 An Efficient Approach for Extraction Positive and Negative Association Rules from Big Data
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    Chapter 7 Field-Reliability Predictions Based on Statistical System Lifecycle Models
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    Chapter 8 Building a Knowledge Based Summarization System for Text Data Mining
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    Chapter 9 Spanish Twitter Data Used as a Source of Information About Consumer Food Choice
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    Chapter 10 Feedback Matters! Predicting the Appreciation of Online Articles A Data - Driven Approach
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    Chapter 11 Creative Intelligence – Automating Car Design Studio with Generative Adversarial Networks (GAN)
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    Chapter 12 A Combined CNN and LSTM Model for Arabic Sentiment Analysis
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    Chapter 13 Between the Lines: Machine Learning for Prediction of Psychological Traits - A Survey
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    Chapter 14 LawStats – Large-Scale German Court Decision Evaluation Using Web Service Classifiers
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    Chapter 15 Clinical Text Mining for Context Sequences Identification
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    Chapter 16 A Multi-device Assistive System for Industrial Maintenance Operations
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    Chapter 17 Feedback Presentation for Workers in Industrial Environments – Challenges and Opportunities
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    Chapter 18 On a New Method to Build Group Equivariant Operators by Means of Permutants
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    Chapter 19 Topological Characteristics of Digital Models of Geological Core
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    Chapter 20 Shortened Persistent Homology for a Biomedical Retrieval System with Relevance Feedback
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    Chapter 21 Explainable AI: The New 42?
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    Chapter 22 A Rule Extraction Study Based on a Convolutional Neural Network
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    Chapter 23 Evaluating Explanations by Cognitive Value
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    Chapter 24 Measures of Model Interpretability for Model Selection
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    Chapter 25 Regular Inference on Artificial Neural Networks
Attention for Chapter 21: Explainable AI: The New 42?
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Chapter title
Explainable AI: The New 42?
Chapter number 21
Book title
Machine Learning and Knowledge Extraction
Published by
Springer, Cham, August 2018
DOI 10.1007/978-3-319-99740-7_21
Book ISBNs
978-3-31-999739-1, 978-3-31-999740-7
Authors

Randy Goebel, Ajay Chander, Katharina Holzinger, Freddy Lecue, Zeynep Akata, Simone Stumpf, Peter Kieseberg, Andreas Holzinger, Goebel, R., Chander, A., Holzinger, K., Lecue, F., Akata, Z., Stumpf, S., Kieseberg, P., Holzinger, A., Goebel, Randy, Chander, Ajay, Holzinger, Katharina, Lecue, Freddy, Akata, Zeynep, Stumpf, Simone, Kieseberg, Peter, Holzinger, Andreas

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 318 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 318 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 18%
Student > Master 45 14%
Researcher 29 9%
Student > Bachelor 26 8%
Student > Doctoral Student 16 5%
Other 50 16%
Unknown 96 30%
Readers by discipline Count As %
Computer Science 112 35%
Engineering 23 7%
Business, Management and Accounting 14 4%
Social Sciences 9 3%
Mathematics 7 2%
Other 41 13%
Unknown 112 35%

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