Advances in Knowledge Discovery and Data Mining

1. Front Matter

   Pages I-XXIV

   PDF

2. Spatiotemporal and Image Data

   1. Front Matter

      Pages 1-1

      PDF

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

      • Minhazul Islam Sk, Arunava Banerjee

      Pages 3-16

   3. Distributed Sequential Pattern Mining in Large Scale Uncertain Databases

      • Jiaqi Ge, Yuni Xia

      Pages 17-29

   4. DeepCare: A Deep Dynamic Memory Model for Predictive Medicine

      • Trang Pham, Truyen Tran, Dinh Phung, Svetha Venkatesh

      Pages 30-41

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

      • Frédéric Bergeron, Kevin Bouchard, Sébastien Gaboury, Sylvain Giroux, Bruno Bouchard

      Pages 42-53

   6. Deep Feature Extraction from Trajectories for Transportation Mode Estimation

      • Yuki Endo, Hiroyuki Toda, Kyosuke Nishida, Akihisa Kawanobe

      Pages 54-66

   7. Online Learning for Accurate Real-Time Map Matching

      • Biwei Liang, Tengjiao Wang, Shun Li, Wei Chen, Hongyan Li, Kai Lei

      Pages 67-78

   8. Multi-hypergraph Incidence Consistent Sparse Coding for Image Data Clustering

      • Xiaodong Feng, Sen Wu, Wenjun Zhou, Zhiwei Tang

      Pages 79-91

   9. Robust Multi-view Manifold Ranking for Image Retrieval

      • Jun Wu, Jianbo Yuan, Jiebo Luo

      Pages 92-103

   10. Image Representation Optimization Based on Locally Aggregated Descriptors

       • Shijiang Chen, Guiguang Ding, Chenxiao Li, Yuchen Guo

       Pages 104-116

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

       • Muhammad Iqbal, Bing Xue, Mengjie Zhang

       Pages 117-129

   12. Personal Credit Profiling via Latent User Behavior Dimensions on Social Media

       • Guangming Guo, Feida Zhu, Enhong Chen, Le Wu, Qi Liu, Yingling Liu et al.

       Pages 130-142

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

       • Kuan-Hao Huang, Hsuan-Tien Lin

       Pages 143-155

   14. Incremental Hierarchical Clustering of Stochastic Pattern-Based Symbolic Data

       • Xin Xu, Jiaheng Lu, Wei Wang

       Pages 156-167

   15. Computing Hierarchical Summary of the Data Streams

       • Zubair Shah, Abdun Naser Mahmood, Michael Barlow

       Pages 168-179

3. Anomaly Detection and Clustering

   1. Front Matter

      Pages 181-181

      PDF

   2. Unsupervised Parameter Estimation for One-Class Support Vector Machines

      • Zahra Ghafoori, Sutharshan Rajasegarar, Sarah M. Erfani, Shanika Karunasekera, Christopher A. Leckie

      Pages 183-195

   3. Frequent Pattern Outlier Detection Without Exhaustive Mining

      • Arnaud Giacometti, Arnaud Soulet

      Pages 196-207

   4. Ensembles of Interesting Subgroups for Discovering High Potential Employees

      • Girish Keshav Palshikar, Kuleshwar Sahu, Rajiv Srivastava

      Pages 208-220

This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016.

The 91 full papers were carefully reviewed and selected from 307 submissions. They are organized in topical sections named: classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data; spatiotemporal and image data; anomaly detection and clustering; novel models and algorithms; and text mining and recommender systems.

• cloud-based high performance data mining
• cyber-security
• distributed data mining
• healthcare
• ubiquitous knowledge discovery
• agent-based data mining
• anomaly detection
• bioinformatics
• data mining
• data warehousing
• human factors
• interactive mining
• intrusion detection
• marketing
• OLAP
• opinion mining
• parallel data mining
• security
• social factors
• statistical methods

• The University of Melbourne, Melbourne, Australia

  James Bailey

• The University of Texas at Dallas, Richardson, USA

  Latifur Khan

• Osaka University, Osaka, Japan

  Takashi Washio

• University of Auckland, Auckland, New Zealand

  Gill Dobbie

• Shenzhen University, Shenzhen, China

  Joshua Zhexue Huang

• Massey University, Auckland, New Zealand

  Ruili Wang

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