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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
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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
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