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  • Conference proceedings
  • © 2016

Advanced Data Mining and Applications

12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10086)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): ADMA: International Conference on Advanced Data Mining and Applications

Conference proceedings info: ADMA 2016.

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Table of contents (61 papers)

  1. Front Matter

    Pages I-XVI
  2. Spotlight Research Papers

    1. Front Matter

      Pages 1-1
    2. Effective Monotone Knowledge Integration in Kernel Support Vector Machines

      • Christopher Bartley, Wei Liu, Mark Reynolds
      Pages 3-18
    3. Textual Cues for Online Depression in Community and Personal Settings

      • Thin Nguyen, Svetha Venkatesh, Dinh Phung
      Pages 19-34
    4. Confidence-Weighted Bipartite Ranking

      • Majdi Khalid, Indrakshi Ray, Hamidreza Chitsaz
      Pages 35-49
    5. Mining Distinguishing Customer Focus Sets for Online Shopping Decision Support

      • Lu Liu, Lei Duan, Hao Yang, Jyrki Nummenmaa, Guozhu Dong, Pan Qin
      Pages 50-64
    6. Community Detection in Networks with Less Significant Community Structure

      • Ba-Dung Le, Hung Nguyen, Hong Shen
      Pages 65-80
    7. Prediction-Based, Prioritized Market-Share Insight Extraction

      • Renato Keshet, Alina Maor, George Kour
      Pages 81-94
    8. Interrelationships of Service Orchestrations

      • Victor W. Chu, Raymond K. Wong, Fang Chen, Chi-Hung Chi
      Pages 95-110
    9. Outlier Detection on Mixed-Type Data: An Energy-Based Approach

      • Kien Do, Truyen Tran, Dinh Phung, Svetha Venkatesh
      Pages 111-125
    10. Low-Rank Feature Reduction and Sample Selection for Multi-output Regression

      • Shichao Zhang, Lifeng Yang, Yonggang Li, Yan Luo, Xiaofeng Zhu
      Pages 126-141
    11. Biologically Inspired Pattern Recognition for E-nose Sensors

      • Sanad Al-Maskari, Wenping Guo, Xiaoming Zhao
      Pages 142-155
    12. Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints

      • Wei He, Xiaofeng Zhu, Yonggang Li, Rongyao Hu, Yonghua Zhu, Shichao Zhang
      Pages 172-187
    13. Improving Cytogenetic Search with GPUs Using Different String Matching Schemes

      • Chantana Chantrapornchai, Chidchanok Choksuchat
      Pages 188-202
    14. CEIoT: A Framework for Interlinking Smart Things in the Internet of Things

      • Ali Shemshadi, Quan Z. Sheng, Yongrui Qin, Ali Alzubaidi
      Pages 203-218
    15. Adopting Hybrid Descriptors to Recognise Leaf Images for Automatic Plant Specie Identification

      • Ali A. Al-kharaz, Xiaohui Tao, Ji Zhang, Raid Lafta
      Pages 219-233
    16. Efficient Mining of Pan-Correlation Patterns from Time Course Data

      • Qian Liu, Jinyan Li, Limsoon Wong, Kotagiri Ramamohanarao
      Pages 234-249
    17. Recognizing Daily Living Activity Using Embedded Sensors in Smartphones: A Data-Driven Approach

      • Wenjie Ruan, Leon Chea, Quan Z. Sheng, Lina Yao
      Pages 250-265
    18. Dynamic Reverse Furthest Neighbor Querying Algorithm of Moving Objects

      • Bohan Li, Chao Zhang, Weitong Chen, Yingbao Yang, Shaohong Feng, Qiqian Zhang et al.
      Pages 266-279

Other Volumes

  1. Advanced Data Mining and Applications

About this book

This book constitutes the proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, held in Gold Coast, Australia, in December 2016.

The 70 papers presented in this volume were carefully reviewed and selected from 105 submissions. The selected papers covered a wide variety of important topics in the area of data mining, including parallel and distributed data mining algorithms, mining on data streams, graph mining, spatial data mining, multimedia data mining, Web mining, the Internet of Things, health informatics, and biomedical data mining.

Editors and Affiliations

  • University of Technology , Sydney, Australia

    Jinyan Li

  • University of Queensland , Brisbane, Australia

    Xue Li

  • Beijing Institute of Technology , Beijing, China

    Shuliang Wang

  • University of Western Australia , Crawley, Australia

    Jianxin Li

  • University of Adelaide , Adelaide, Australia

    Quan Z. Sheng

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access