© 2015

Data Science

Second International Conference, ICDS 2015, Sydney, Australia, August 8-9, 2015, Proceedings

  • Chengqi Zhang
  • Wei Huang
  • Yong Shi
  • Philip S. Yu
  • Yangyong Zhu
  • Yingjie Tian
  • Peng Zhang
  • Jing He
Conference proceedings ICDS 2015

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9208)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 9208)

Table of contents

  1. Front Matter
    Pages I-X
  2. Mingnan Zhou, Ruisheng Shi, Zhaozhen Xu, Yuan He, Yiyi Zhou, Lina Lan
    Pages 1-5
  3. Wei Zong, Feng Wu, Zhengrui Jiang, Yi Qu
    Pages 16-24
  4. Jingfeng Guo, Xiao Chen, Junli Yu, Chaozhi Fan, Miaomiao Liu
    Pages 25-29
  5. Jingwei Li, Wayne Huang, Ping Chen
    Pages 30-33
  6. Zhou Zhang, Yuewen Liu, Wei Ding, Wei Wayne Huang
    Pages 34-41
  7. Xinxin Jiang, Xueping Peng, Guodong Long
    Pages 42-49
  8. Wenyu Zang, Xiao Wang, Qipeng Yao, Li Guo
    Pages 50-57
  9. Bo Wang, Yong Shi, Zhuofan Yang, Xuchan Ju
    Pages 62-69
  10. Fan Meng, Zhiquan Qi, Limeng Cui, Zhensong Chen, Yong Shi
    Pages 87-94
  11. Limeng Cui, Zhiquan Qi, Zhensong Chen, Fan Meng, Yong Shi
    Pages 95-102
  12. Hamidu Abdel-Fatao, Jiuyong Li, Jixue Liu
    Pages 103-111
  13. Bo Mao, Jing He, Jie Cao, Stephen Bigger, Todor Vasiljevic
    Pages 112-119
  14. Zhongyi Sun, Fengke Chen, Mingmin Chi, Yangyong Zhu
    Pages 120-126
  15. Yifan Fu, Junbin Gao, Xingquan Zhu
    Pages 135-140

About these proceedings


This book constitutes the refereed proceedings of the Second International Conference on Data Science, ICDS 2015, held in Sydney, Australia, during August 8-9, 2015.

The 19 revised full papers and 5 short papers presented were carefully reviewed and selected from 31 submissions. The papers focus on the following topics: mathematical issues in data science; big data issues and applications; data quality and data preparation; data-driven scientific research; evaluation and measurement in data service; big data mining and knowledge management; case study of data science; social impacts of data science.


Active learning Big data Frequent patterns Large-scale social networks Social networks Data science Fast algorithm Fuzzy numbers GPS trajectory data mining Hadoop Hard clustering Item detection Lattice theory Markov chains Multi-dimensional classification Multi-view learning Pairwise constraint Personalized recommendation Remote sensing Sequential pattern mining

Editors and affiliations

  • Chengqi Zhang
    • 1
  • Wei Huang
    • 2
  • Yong Shi
    • 3
  • Philip S. Yu
    • 4
  • Yangyong Zhu
    • 5
  • Yingjie Tian
    • 6
  • Peng Zhang
    • 7
  • Jing He
    • 8
  1. 1.University of TechnologySydneyAustralia
  2. 2.Xi'an Jiaotong UniversityXi'an JiaotongChina
  3. 3. Chinese Academy of SciencesBeijingChina
  4. 4.University of Illinois ChicagoCHICAGOUSA
  5. 5.Fudan UniversityShanghaiChina
  6. 6.Research Center on Fictitious EconoChinese Academy of SciencesBeijingChina
  7. 7.University of TechnologySydneyAustralia
  8. 8.Victoria UniversityMelbourneAustralia

Bibliographic information

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