This event is endorsed
and organized by

9th EAI International Conference on Mobile Multimedia Communications

June 18–19, 2016 | Xi'an, People's Republic of China

The 3rd International Workshop on Data, Text, Web, and Social Network Mining
(DTWSM 2016)

Xi'an, People's Republic of China, June 18–19, 2016


Extended versions of selected papers will be considered for publication in:

  • IEEE Internet of Things Journal
  • IEEE Transactions on Big Data
  • Information Fusion (pending)

Call for Papers

The intimate presence of mobile devices in our daily life has dramatically changed the way we connect with the world around us. Users generate a variety of data including textual, multimedia, usage records/logs and social interaction data,etc. This provide a new data source to mine knowledge, track interesting targets or figure out relationships from them ultilizing the techniques of data mining. However, these massive, heterogeneous and non-synchronous data introduce significant challenges to the data, text, web, and social network mining, for example, generic data modeling and massive data process. How to achieve efficient, accurate, trustworthy, distributed and parallel mining results has become crucial of importance that significantly impacts future success of applications benefitted from data mining and its intelligence.

In recent years, data, text, web, and social network mining (DTWSM) has been paid an increasing attention and gained serious studies towards being successfully applied in the practice of the data incentive applications and services. This workshop aims to bring together researchers and professionals from worldwide academia and industry for showcasing, discussing, and reviewing the whole spectrum of technological opportunities, challenges, solutions, and emerging applications in this research area.

Topics of interest include, but are not limited to:

  1. Mobile multimedia indexing and retrieval
  2. Theoretic foundations of heterogeneous data mining
  3. Mining heterogeneous/multi-source data
  4. User behavior analysis of mobile multimedia applications
  5. Mining spatial and temporal data
  6. Mining unstructured and semi-structured data
  7. Mining social networks
  8. Mining high dimensional data
  9. Mining uncertain data
  10. Mining imbalanced data
  11. Mining dynamic/streaming data
  12. Personalization, privacy and security in mobile multimedia
  13. Visual data mining
  14. Opinion mining and sentiment analysis
  15. Human, domain, organizational and social factors in data mining

Important Dates

Paper submission deadline:

Author notification:

Final manuscript due:

February 1st, 2016 April 17th, 2016

April 1st, 2016  May 1, 2016

April 20th, 2016 May 8th, 2016


Submission Instructions

The workshop organizers cordially invite submissions of original research work to the Workshop (DTWSM 2016), in conjunction with The 9th EAI International Conference on Mobile Multimedia Communications, to be held on June 18-20, 2016 in Xi’an, China. The paper submissions must follow the ACM formatting guidelines (see Author's kit section) and through submission system.



Program Co-Chairs

PC Members (In alphabetical order)

  • Ari Visa, Tampere University of Technology, Finland
  • Bifan Wei, Xi’an Jiaotong University, China
  • Garimella Rama Murthy, The International Institute of Information Technology, Hyderabad (IIIT-H) , India
  • Haifei Max Li, Union University, USA
  • Hao Chen, Xi’an Jiaotong University, China
  • Jiang Zheng, ABB US Corporate Research Center, USA
  • József Mezei, Åbo Akademi University, Finland
  • Qingtang Liu, Central China Normal University, China
  • Susanna Pirttikangas, University of Oulu, Finland
  • Tianrui Li, Southwest Jiaotong University, China
  • Wei Zhang, Amazon Inc., USA
  • Weizhan Zhang, Xi’an Jiaotong University, China
  • Xia Sun, Northwest University, China
  • Xiaohua Tony Hu, Drexel University, USA
  • Ye Tian, China Internet Network Information Center (CNNIC), China
  • Yoan Miche, Nokia Inc., Finland
  • Zhe Guo, Huawei Inc., China


Please email inquiries concerning DTWSM2016 to:

Prof. Jun Liu, Email: [email protected]