The 1st National Big Data Processing and Analysis Symposium, BDPA 2016

Call for Papers

Important Dates

1．Submission deadline: May 20, 2016

2．Notification of acceptance:July 20, 2016

3．Camera ready:August 10, 2016

4．Conference date: September23-25, 2016

Contributions Requirements

1.Papers should be submitted online in this symposium. Multiple submissions are not allowed.Manuscripts should be submitted through the Easychair system, please add BDPA2016 after the title of the Title column in the Easychair system after submitting manuscripts BDPA2016 should also be added at the end of paper's title.

2.Both Chinese and English papers are acceptable. The English manuscript is set according to the standard format of the IEEE paper. Long papers should not exceed 6 pages. Short papers should not exceed 4 pages. Please refer to the following link for English paper template:

http://www.ieee.org/publications_standards/publications/conferences/2014_04_msw_a4_format.doc

Chinese manuscript according to "Computer Engineering" magazine format requirements, are usually not more than 6000 words. Please refer to the following link for English paper template:

http://www.ecice06.com/CN/column/column307.shtml

3.The manuscript requires the use of WORD or PDF format. In order to facilitate the publication process, manuscripts annex must contain English abstracts, keywords, funding information and major references, all author information and author introduction，and indicate the corresponding author's name, affiliation, full postal address, Email address and phone.

4. "Journal of Software" Information Systems Security Special Issue Call for Papers see:

http://www.jos.org.cn/ch/reader/view_news.aspx?id=20160418032212506

Chairs

Chunxiao Xing (Tsinghua University)
Derong Shen (Northeast University)

Contact information

1.Submission address :
https://easychair.org/conferences/?conf=wisa2016

Contributors Contact:
Yong Zhang Tsinghua University（zhangyong05@tsinghua.edu.cn）

2.Conference website：/hust/mu_idc/wisa2016/

3.Conference case:
Minquan Wu, Wuhan University（rjgc@whu.edu.cn）

The 1st National Big Data Processing and Analysis Symposium, hosted by China Computer Federation （CCF） and CCF Information Systems Special Committee, will be convened in coordination with the 13th National Conference on Web Information Systems and Applications on September 23-25, 2016 in Wuhan, Hubei Province. The Symposium will focus on hot issues, key technologies and typical applications in the field of big data processing and analysis for exchanging ideas and presentation of progress.
Papers in the field of big data are invited to submit to the symposium, including papers on big data research, theories, state-of-the-art practice and experience reports from ongoing industry-based research, lessons learned from implemented projects and practical experience. The conference proceedings (accepted papers written in English) will be published by IEEE Reliability Society. Papers presented at the conference will also be submitted for inclusion into the IEEE Xplore and to all of the A&I (abstracting and indexing) partners (such as the EI Compendex), and accepted papers in Chinese will be published in Computer & Digital Engineering. Outstanding papers will be recommended to publish in Computer Science and Computer Engineering, particularly outstanding papers will be recommended to publish in Special Issue of Information System Security of Journal of Software.

Major topics include (but not limited to):

  • Basic theory of big data science
  • Big data system architecture and infrastructure
  • Big data acquisition and pre-processing technology
  • Big data storage management model, technology and systems
  • Big data parallel computing models, frameworks and systems
  • Big data intelligent computing, analysis mining methods and algorithms
  • Big data Systems solutions and tools platform
  • Big data technology standards
  • Big data analysis theory and algorithms
  • Big data governance
  • Big data analysis and Artificial Intelligence
  • Big data access control
  • Big data management and analysis
  • Big data mining and application
  • Big data privacy and security
  • Big data optimization techniques
  • Visualization analysis and calculation of big data
  • Machine learning technology based on big data
  • Inference technology based on big data
  • Knowledge representation technology based on big data
  • Cloud computing and cloud storage technology
  • Big data Industry Applications