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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. Research Papers

    1. Front Matter

      Pages 281-281
    2. Relative Neighborhood Graphs Uncover the Dynamics of Social Media Engagement

      • Natalie Jane de Vries, Ahmed Shamsul Arefin, Luke Mathieson, Benjamin Lucas, Pablo Moscato
      Pages 283-297
    3. An Ensemble Approach for Better Truth Discovery

      • Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang
      Pages 298-311
    4. Single Classifier Selection for Ensemble Learning

      • Guangtao Wang, Xiaomei Yang, Xiaoyan Zhu
      Pages 312-328
    5. Community Detection in Dynamic Attributed Graphs

      • Gonzalo A. Bello, Steve Harenberg, Abhishek Agrawal, Nagiza F. Samatova
      Pages 329-344
    6. Secure Computation of Skyline Query in MapReduce

      • Asif Zaman, Md. Anisuzzaman Siddique, Annisa, Yasuhiko Morimoto
      Pages 345-360
    7. Recommending Features of Mobile Applications for Developer

      • Hong Yu, Yahong Lian, Shuotao Yang, Linlin Tian, Xiaowei Zhao
      Pages 361-373
    8. Adaptive Multi-objective Swarm Crossover Optimization for Imbalanced Data Classification

      • Jinyan Li, Simon Fong, Meng Yuan, Raymond K. Wong
      Pages 374-390
    9. Causality-Guided Feature Selection

      • Mandar S. Chaudhary, Doel L. Gonzalez II, Gonzalo A. Bello, Michael P. Angus, Dhara Desai, Steve Harenberg et al.
      Pages 391-405
    10. Temporal Interaction Biased Community Detection in Social Networks

      • Noha Alduaiji, Jianxin Li, Amitava Datta, Xiaolu Lu, Wei Liu
      Pages 406-419
    11. Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning

      • Haripriya Harikumar, Thin Nguyen, Santu Rana, Sunil Gupta, Ramachandra Kaimal, Svetha Venkatesh
      Pages 420-433
    12. Unified Weighted Label Propagation Algorithm Using Connection Factor

      • Xin Wang, Songlei Jian, Kai Lu, Xiaoping Wang
      Pages 434-444
    13. MetricRec: Metric Learning for Cold-Start Recommendations

      • Furong Peng, Xuan Lu, Jianfeng Lu, Richard Yi-Da Xu, Cheng Luo, Chao Ma et al.
      Pages 445-458
    14. Time Series Forecasting on Engineering Systems Using Recurrent Neural Networks

      • Dongxu Shao, Tianyou Zhang, Kamal Mannar, Yue Han
      Pages 459-471
    15. EDAHT: An Expertise Degree Analysis Model for Mass Comments in the E-Commerce System

      • Jiang Zhong, You Xiong, Weili Guo, Jingyi Xie
      Pages 472-480
    16. A Scalable Document-Based Architecture for Text Analysis

      • Ciprian-Octavian Truică, Jérôme Darmont, Julien Velcin
      Pages 481-494
    17. DAPPFC: Density-Based Affinity Propagation for Parameter Free Clustering

      • Hanning Yuan, Shuliang Wang, Yang Yu, Ming Zhong
      Pages 495-506
    18. Effective Traffic Flow Forecasting Using Taxi and Weather Data

      • Xiujuan Xu, Benzhe Su, Xiaowei Zhao, Zhenzhen Xu, Quan Z. Sheng
      Pages 507-519
    19. Understanding Behavioral Differences Between Short and Long-Term Drinking Abstainers from Social Media

      • Haripriya Harikumar, Thin Nguyen, Sunil Gupta, Santu Rana, Ramachandra Kaimal, Svetha Venkatesh
      Pages 520-533
    20. Discovering Trip Hot Routes Using Large Scale Taxi Trajectory Data

      • Linjiang Zheng, Qisen Feng, Weining Liu, Xin Zhao
      Pages 534-546

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