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Trends and Applications in Knowledge Discovery and Data Mining

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Cover of 'Trends and Applications in Knowledge Discovery and Data Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Towards a New Evolutionary Subsampling Technique for Heuristic Optimisation of Load Disaggregators
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    Chapter 2 Neural Choice by Elimination via Highway Networks
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    Chapter 3 Attribute Selection and Classification of Prostate Cancer Gene Expression Data Using Artificial Neural Networks
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    Chapter 4 An Improved Self-Structuring Neural Network
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    Chapter 5 Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification
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    Chapter 6 Multiple Seeds Based Evolutionary Algorithm for Mining Boolean Association Rules
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    Chapter 7 Predicting Phone Usage Behaviors with Sensory Data Using a Hierarchical Generative Model
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    Chapter 8 Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions
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    Chapter 9 Rigidly Self-Expressive Sparse Subspace Clustering
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    Chapter 10 Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors
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    Chapter 11 Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes
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    Chapter 12 Phishing Detection on Twitter Streams
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    Chapter 13 Image Segmentation with Superpixel Based Covariance Descriptor
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    Chapter 14 Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals
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    Chapter 15 Event Prediction in Healthcare Analytics: Beyond Prediction Accuracy
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    Chapter 16 Clinical Decision Support for Stroke Using Multi–view Learning Based Models for NIHSS Scores
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    Chapter 17 A Music Recommendation System Based on Acoustic Features and User Personalities
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    Chapter 18 A Social Spam Detection Framework via Semi-supervised Learning
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    Chapter 19 A Hierarchical Beta Process Approach for Financial Time Series Trend Prediction
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    Chapter 20 Efficient Iris Image Segmentation for ATM Based Approach Through Fuzzy Entropy and Graph Cut
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    Chapter 21 Matching Product Offers of E-Shops
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    Chapter 22 Keystroke Biometric Recognition on Chinese Long Text Input
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    Chapter 23 Recommendation Algorithm Design in a Land Exchange Platform
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    Chapter 24 Erratum to: Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals
Attention for Chapter 14: Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals
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5 Mendeley
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Chapter title
Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals
Chapter number 14
Book title
Trends and Applications in Knowledge Discovery and Data Mining
Published by
Springer, Cham, April 2016
DOI 10.1007/978-3-319-42996-0_14
Book ISBNs
978-3-31-942995-3, 978-3-31-942996-0, 978-3-31-942995-3, 978-3-31-942996-0

Xueyuan Gong, Simon Fong, Yain-Whar Si, Robert P. Biuk-Aghai, Raymond K. Wong, Athanasios V. Vasilakos

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Student > Ph. D. Student 1 20%
Professor 1 20%
Lecturer 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Social Sciences 1 20%
Unknown 2 40%