14
December 2014
Shenzhen
http://spatial.szu.edu.cn/SBDMV2014.htm
Call for Papers
Existing concepts, theories, and methods
for the spatial big data are facing many challenges, for instance, spatial big
data storage, processing, analysis, mining and visualization. The value of
spatial big data could not be fully achieved without data mining. And it has
been realized that visualization is an effective means for not only presenting
essential information in vast amounts of data but also driving big data
analytics. This half-day workshop aims to serve as a platform to discuss the
recent trends in spatial big data mining and visualization, for the purpose of
intelligent spatial decision support. We invite the submission of original
research contributions. All accepted papers will be included in the Workshop
Proceedings published by the IEEE Computer Society Press that are indexed by
EI. Outstanding papers will be invited to extend to full version for a
SCI(E)-indexed journal, which is currently under contact.
Topics
of Interest
§
Spatial big data processing
§
Spatial big data modeling
§
Spatial big data mining
§
Spatial data visualization
approach
§
Spatial big data visual
analytics
§
Geo-visual analytics for
usability testing and exploring big data
§
Intelligent Spatial decision
support
§
Geo-Social networks, crowd
sourcing and public participatory spatial decision support
§
Data-intensive computing and
computational intelligence for spatial decision support
Submission
Guidelines
Manuscripts
must be submitted electronically to the CyberChair Conference Management System.
All papers submissions can be up to 8 pages in the IEEE 2-column format (please
see http://icdm2014.sfu.ca/submission.html). They should be submitted via
the online submission system. Each paper will be assigned to three reviewers
for a peer review. All accepted papers will be included in the Workshop
Proceedings published by the IEEE Computer Society Press that are indexed by
EI. Outstanding papers will be invited to extend to full version for a
SCI(E)-indexed journal, which is currently under contact.
Important
Dates
§
Paper submission(suggested
lenght: 6 pages): September 26, 2014
§
Paper notification: October 10, 2014
§
Camera-ready deadline: October
23, 2014
§
Workshop dates: December 14,
2014
§
Full paper submission for
special issue: January 31, 2015
§
Initial decision on full
papers: March 15, 2015
§
Final papers due for special
issue: April 30, 2015
§
Final decisions on full papers:
May 31, 2015
Organizer
§
Qingquan Li, Shenzhen
University
§
Yang Yue, Shenzhen University
§
Guangzhong Sun, University of
Science and Technology of China
§
Xing Xie, Microsoft Research
Asia
Local
chair
§
Xing Zhang, Shenzhen University
Technical
Program Committee
§
Feng Lu, Institute of
Geographic Science and Natural Resources Research, Chinese Academy of Sciences
§
Nicholas Yuan, Microsoft
Research Asia
§
Kevin Zheng, Queensland
University
§
Yu Liu, Peking University
§
Gang Pan, Zhejiang University
§
Zhixiang Fang, Wuhan University
§
Xianfeng Huang, Wuhan
University
§
Biyu Chen, Wuhan University
§
Kuien Liu, Institute of
Software, Chinese Academy of Sciences
§
Jiajie Xu, Suzhou University
§
Shuo Shang, China University Of
Petroleum (Beijing)
§
Rui Mao, Shenzhen University
§
Xing Zhang, Shenzhen University
§
Wei Tu, Shenzhen University
§
Jianliang Xu, Hong Kong Baptist
University
§
Weiwei Sun, Fudan University
§
Qi Liu, University of Science
and Technology of China
Key
Notes
§ § keynote
speaker on spatial big data mining
Paul He
Paul
He is a researcher at Tencent SNG. He joined Tencent in 2009, has been engaged
in data mining-related projects, including user significant places detection,
QQ circle, friends/groups recommendation and so on. He focuses on user mobility
analysis, location-based social network(LBSN), machine learning, etc.
§ § keynote speaker on spatial big data visualization
Dr. Xiaoru Yuan
Peking
University
Contact
Information:
For any inquiries, please contact the
workshop local Chair Dr. Xing Zhang: xzhang@szu.edu.cn
Address:
Room 1402, Science and Technology Building,
Shenzhen University
No. 3688 Nanhai Avenue, Nanshan District,
Shenzhen, Guangdong, P. R. China, 518060
