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DTWSM2015

The 2nd IEEE International Workshop on Data, Text, Web, and Social Network Mining
held in conjunction with IEEE BigDataSE-15

August 20-22, 2015, Helsinki, Finland


Data mining has the power to advance different domain problems solving as a scientific and engineering discipline. Various data including textual, multimedia, usage records/logs and social interaction data, sourced from different parties are studied in order to mine knowledge, track interesting targets or figure out relationships from them. 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 benefited 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 will continue the success of IEEE DTWSM 2014 (September 11th 2014, Xi’an, China, held in conjunction with IEEE CIT2014) and invite proposals for contributed talks and demonstrations that highlight novel developments in the foundations, infrastructure, applications and implications of heterogeneous data mining. Together, we will continuously explore and discuss the latest academic and industrial research results related to this research area.


Scope and Interests

Topics of interest include, but are not limited to:

  • Theoretic foundations of heterogeneous data mining
  • Mining heterogeneous/multi-source data
  • Mining RDF graph, graph and network data
  • Mining spatial and temporal data
  • Mining unstructured and semi-structured data
  • Mining social networks
  • Mining high dimensional data
  • Mining uncertain data
  • Mining imbalanced data
  • Mining dynamic/streaming data
  • Mining scientific data
  • Visual data mining
  • Opinion mining and sentiment analysis
  • Human, domain, organizational and social factors in data mining

Submission Instructions

Papers submitted to the workshop should be written in English conforming to the IEEE Conference Proceedings Format (8.5" x 11", Two-Column). The paper should be submitted through the workshop submission system at the workshop website. The length of the papers should not exceed 6 pages + 2 pages for over length charges.


Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS CPS and submitted to IEEE Xplore and CSDL. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers will be removed from the digital libraries of IEEE CS after the conference. Distinguished papers presented at the conference, after further revision, will be recommended to special issues of reputable SCI/EI-indexed journals.


Submitting a paper to the workshop means that, if the paper is accepted, at least one author should attend the workshop and present the paper.


Important Dates

Submission deadline: March 31st May 22nd, 2015
Authors notification: May 31st, 2015
Camera-ready due: July 1st, 2015
Registration: July 1st, 2015


Program Co-Chairs

Jun Liu, Xi’an Jiaotong University, China
Zheng Yan, Xidian University, China / Aalto University, Finland
Moncef Gabbouj, Tampere University of Technology, Finland


PC Members

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


Contact

Please email inquiries concerning the workshop to Prof. Jun Liu.

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