Advances in Knowledge Discovery and Data Mining

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

  • James Bailey
  • Latifur Khan
  • Takashi Washio
  • Gill Dobbie
  • Joshua Zhexue Huang
  • Ruili Wang
Conference proceedings PAKDD 2016

DOI: 10.1007/978-3-319-31750-2

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9652)

Table of contents (44 papers)

  1. Front Matter
    Pages I-XXIV
  2. Spatiotemporal and Image Data

    1. Front Matter
      Pages 1-1
    2. DeepCare: A Deep Dynamic Memory Model for Predictive Medicine
      Trang Pham, Truyen Tran, Dinh Phung, Svetha Venkatesh
      Pages 30-41
    3. 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
    4. Deep Feature Extraction from Trajectories for Transportation Mode Estimation
      Yuki Endo, Hiroyuki Toda, Kyosuke Nishida, Akihisa Kawanobe
      Pages 54-66
    5. Online Learning for Accurate Real-Time Map Matching
      Biwei Liang, Tengjiao Wang, Shun Li, Wei Chen, Hongyan Li, Kai Lei
      Pages 67-78
    6. Multi-hypergraph Incidence Consistent Sparse Coding for Image Data Clustering
      Xiaodong Feng, Sen Wu, Wenjun Zhou, Zhiwei Tang
      Pages 79-91
    7. Robust Multi-view Manifold Ranking for Image Retrieval
      Jun Wu, Jianbo Yuan, Jiebo Luo
      Pages 92-103
    8. Image Representation Optimization Based on Locally Aggregated Descriptors
      Shijiang Chen, Guiguang Ding, Chenxiao Li, Yuchen Guo
      Pages 104-116
    9. 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
    10. 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
    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

Other volumes

  1. Advances in Knowledge Discovery and Data Mining
    20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II
  2. 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

About these proceedings

Introduction

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.

Keywords

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

Editors and affiliations

  • James Bailey
    • 1
  • Latifur Khan
    • 2
  • Takashi Washio
    • 3
  • Gill Dobbie
    • 4
  • Joshua Zhexue Huang
    • 5
  • Ruili Wang
    • 6
  1. 1.The University of MelbourneMelbourneAustralia
  2. 2.The University of Texas at DallasRichardsonUSA
  3. 3.Osaka UniversityOsakaJapan
  4. 4.University of AucklandAucklandNew Zealand
  5. 5.Shenzhen UniversityShenzhenChina
  6. 6.Massey UniversityAucklandNew Zealand

Bibliographic information

  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-31749-6
  • Online ISBN 978-3-319-31750-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349