Book Volume 9652 2016

Advances in Knowledge Discovery and Data Mining

20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II

ISBN: 978-3-319-31749-6 (Print) 978-3-319-31750-2 (Online)

Table of contents (44 chapters)

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  1. Front Matter

    Pages I-XXIV

  2. Spatiotemporal and Image Data

    1. Front Matter

      Pages 1-1

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      Pages 3-16

      Denoising Time Series by Way of a Flexible Model for Phase Space Reconstruction

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      Chapter

      Pages 17-29

      Distributed Sequential Pattern Mining in Large Scale Uncertain Databases

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      Pages 30-41

      DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

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      Pages 42-53

      Indoor Positioning System for Smart Homes Based on Decision Trees and Passive RFID

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      Pages 54-66

      Deep Feature Extraction from Trajectories for Transportation Mode Estimation

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      Chapter

      Pages 67-78

      Online Learning for Accurate Real-Time Map Matching

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      Chapter

      Pages 79-91

      Multi-hypergraph Incidence Consistent Sparse Coding for Image Data Clustering

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      Pages 92-103

      Robust Multi-view Manifold Ranking for Image Retrieval

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      Pages 104-116

      Image Representation Optimization Based on Locally Aggregated Descriptors

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      Chapter

      Pages 117-129

      Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems

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      Chapter

      Pages 130-142

      Personal Credit Profiling via Latent User Behavior Dimensions on Social Media

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      Chapter

      Pages 143-155

      Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards

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      Chapter

      Pages 156-167

      Incremental Hierarchical Clustering of Stochastic Pattern-Based Symbolic Data

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      Pages 168-179

      Computing Hierarchical Summary of the Data Streams

  3. Anomaly Detection and Clustering

    1. Front Matter

      Pages 181-181

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      Chapter

      Pages 183-195

      Unsupervised Parameter Estimation for One-Class Support Vector Machines

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      Pages 196-207

      Frequent Pattern Outlier Detection Without Exhaustive Mining

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      Pages 208-220

      Ensembles of Interesting Subgroups for Discovering High Potential Employees

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      Chapter

      Pages 221-232

      Dynamic Grouped Mixture Models for Intermittent Multivariate Sensor Data

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      Chapter

      Pages 233-244

      Parallel Discord Discovery

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      Chapter

      Pages 245-256

      Dboost: A Fast Algorithm for DBSCAN-based Clustering on High Dimensional Data

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