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Machine Learning and Knowledge Extraction

Overview of attention for book
Cover of 'Machine Learning and Knowledge Extraction'

Table of Contents

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    Book Overview
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    Chapter 1 On Distance Mapping from non-Euclidean Spaces to Euclidean Spaces
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    Chapter 2 Some Remarks on the Algebraic Properties of Group Invariant Operators in Persistent Homology
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    Chapter 3 Decentralized Computation of Homology in Wireless Sensor Networks Using Spanning Trees
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    Chapter 4 Detecting and Ranking API Usage Pattern in Large Source Code Repository: A LFM Based Approach
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    Chapter 5 Towards a Framework for Assistance Systems to Support Work Processes in Smart Factories
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    Chapter 6 Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction
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    Chapter 7 Online Self-disclosure: From Users’ Regrets to Instructional Awareness
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    Chapter 8 Decision Tree Rule Induction for Detecting Covert Timing Channels in TCP/IP Traffic
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    Chapter 9 Practical Estimation of Mutual Information on Non-Euclidean Spaces
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    Chapter 10 IntelliAV: Toward the Feasibility of Building Intelligent Anti-malware on Android Devices
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    Chapter 11 DO NOT DISTURB? Classifier Behavior on Perturbed Datasets
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    Chapter 12 A Short-Term Forecast Approach of Public Buildings’ Power Demands upon Multi-source Data
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    Chapter 13 On the Challenges and Opportunities in Visualization for Machine Learning and Knowledge Extraction: A Research Agenda
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    Chapter 14 Quantitative Externalization of Visual Data Analysis Results Using Local Regression Models
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    Chapter 15 Analysis of Online User Behaviour for Art and Culture Events
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    Chapter 16 On Joint Representation Learning of Network Structure and Document Content
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    Chapter 17 Ambient Assisted Living Technologies from the Perspectives of Older People and Professionals
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    Chapter 18 Human Activity Recognition Using Recurrent Neural Networks
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    Chapter 19 Modeling Golf Player Skill Using Machine Learning
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    Chapter 20 Predicting Chronic Heart Failure Using Diagnoses Graphs
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    Chapter 21 A Declarative Semantics for P2P Systems
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    Chapter 22 Improving Language-Dependent Named Entity Detection
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    Chapter 23 Towards the Automatic Detection of Nutritional Incompatibilities Based on Recipe Titles
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    Chapter 24 The More the Merrier - Federated Learning from Local Sphere Recommendations
Attention for Chapter 8: Decision Tree Rule Induction for Detecting Covert Timing Channels in TCP/IP Traffic
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Citations

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12 Mendeley
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Chapter title
Decision Tree Rule Induction for Detecting Covert Timing Channels in TCP/IP Traffic
Chapter number 8
Book title
Machine Learning and Knowledge Extraction
Published by
Springer, Cham, August 2017
DOI 10.1007/978-3-319-66808-6_8
Book ISBNs
978-3-31-966807-9, 978-3-31-966808-6
Authors

Félix Iglesias, Valentin Bernhardt, Robert Annessi, Tanja Zseby, Iglesias, Félix, Bernhardt, Valentin, Annessi, Robert, Zseby, Tanja

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Researcher 2 17%
Student > Master 2 17%
Lecturer 1 8%
Unknown 4 33%
Readers by discipline Count As %
Computer Science 5 42%
Engineering 2 17%
Unknown 5 42%

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