Book Volume 9794 2016

Trends and Applications in Knowledge Discovery and Data Mining

PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF, Auckland, New Zealand, April 19, 2016, Revised Selected Papers

Editors:

ISBN: 978-3-319-42995-3 (Print) 978-3-319-42996-0 (Online)

Table of contents (24 chapters)

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  1. Front Matter

    Pages I-XIII

  2. Biologically Inspired Data Mining Techniques (BDM)

    1. Front Matter

      Pages 1-1

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      Chapter

      Pages 3-14

      Towards a New Evolutionary Subsampling Technique for Heuristic Optimisation of Load Disaggregators

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      Chapter

      Pages 15-25

      Neural Choice by Elimination via Highway Networks

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      Chapter

      Pages 26-34

      Attribute Selection and Classification of Prostate Cancer Gene Expression Data Using Artificial Neural Networks

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      Chapter

      Pages 35-47

      An Improved Self-Structuring Neural Network

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      Chapter

      Pages 48-60

      Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification

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      Chapter

      Pages 61-72

      Multiple Seeds Based Evolutionary Algorithm for Mining Boolean Association Rules

  3. Machine Learning for Sensory Data Analysis (MLSDA)

    1. Front Matter

      Pages 73-73

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      Chapter

      Pages 75-87

      Predicting Phone Usage Behaviors with Sensory Data Using a Hierarchical Generative Model

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      Chapter

      Pages 88-100

      Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions

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      Chapter

      Pages 101-114

      Rigidly Self-Expressive Sparse Subspace Clustering

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      Chapter

      Pages 115-127

      Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors

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      Chapter

      Pages 128-140

      Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes

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      Chapter

      Pages 141-153

      Phishing Detection on Twitter Streams

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      Chapter

      Pages 154-165

      Image Segmentation with Superpixel Based Covariance Descriptor

  4. Predictive Analytics for Critical Care (PACC)

    1. Front Matter

      Pages 167-167

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      Chapter

      Pages 169-180

      Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals

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      Chapter

      Pages 181-189

      Event Prediction in Healthcare Analytics: Beyond Prediction Accuracy

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      Chapter

      Pages 190-199

      Clinical Decision Support for Stroke Using Multi–view Learning Based Models for NIHSS Scores

  5. Data Mining in Business and Finance (WDMBF)

    1. Front Matter

      Pages 201-201

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      Chapter

      Pages 203-213

      A Music Recommendation System Based on Acoustic Features and User Personalities

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      Chapter

      Pages 214-226

      A Social Spam Detection Framework via Semi-supervised Learning

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      Chapter

      Pages 227-237

      A Hierarchical Beta Process Approach for Financial Time Series Trend Prediction

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      Chapter

      Pages 238-247

      Efficient Iris Image Segmentation for ATM Based Approach Through Fuzzy Entropy and Graph Cut

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