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DSCI 2017 : Data Science and Computational Intelligence 2017 @San Francisco, CA, USA

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When Aug 4, 2017 - Aug 8, 2017
Where San Francisco
Submission Deadline Apr 7, 2017
Notification Due May 10, 2017
Final Version Due Jun 10, 2017
Categories    data science   computer science   machine learning   artificial intelligence
 

Call For Papers

Dear Colleagues,

We are glad to announce the availability of Call for Papers
for The 14th 2017 IEEE International Conference on Ubiquitous Intelligence
and Computing: Data Science and
Computational Intelligence, Aug 4 - Aug 8, San Francisco, CA, US (DSCI 2017),
and please feel free to pass this message on to anyone else who might interest,
the Deadline is Apr 28th 23:59 GMT.

The purpose of this conference is to identify challenging problems facing
the development of innovative knowledge and information systems, and
to shape future research directions through the publication of high quality,
applied and theoretical research findings. As we enter the big data era,
Web Intelligence has extended and made use of artificial intelligence for
new products, services and frameworks that are empowered by the
World Wide Web. In DSCI 2017, we will continue the tradition of
promoting collaboration among multiple areas. This year we are highlighting
the advances in frontiers and applications of general areas such as big data,
data science, artificial intelligence, social computing, data mining, information
retrieval, and machine learning, etc. This is uniquely placed to deliver fresh
perspectives on big data science.

Topics of interest include, but are not limited to, the following areas:
* Big Data Analysis
* Data Science
* Artificial Intelligence
* Information Retrieval
* Data Mining
* Machine Learning
* Recommender Systems
* Deep Neural Networks
* Systems Neuroscience
* Reinforcement Learning
* Robotics
* Embedded Systems
* Database
* Computer Vision
* Natural Language Processing
* Human-Computer Interaction
* Software Engineering
* Social Computing

Accepted papers must contain novel results. Contributions can be
theoretical and/or empirical. Results will be judged on the degree
to which they have been objectively established or their
potential for scientific and technological impact.

===============================================================
The 2017 IEEE International Conference on Ubiquitous Intelligence and Computing: Data Science and Computational Intelligence

Aug 4 - Aug 8, San Francisco, US (DSCI 2017)

Author Notification: May 10, 2017
Camera-Ready Due: June 10, 2017
===============================================================

Program Chairs:
Shuai Li, University of Cambridge, United Kingdom
Fei Hao, Shaanxi Normal University, China

Program Committee Members:
Dhruv Arya, LinkedIn, United States
Zheng Pei, Xihua University, China
Qingcheng Zhang, St. Francis Xavier University, Canada
Arjumand Younus, National University of Ireland Galway, Ireland
Xiaoliang Chen, Xihua University, China
Safee Ullah Chaudhary, Lahore University of Management Sciences, Pakistan
Pitt X. Dong, BiciTech, China
Muhammad Atif Qureshi, Insight-Centre (UCD), Ireland
Xiaokang Wang, Huazhong University of Science and Technology, China
Khurram Shahzad, University of the Punjab, Pakistan
Shi Cheng, Shaanxi Normal University, China
Don-Wan Choi, Simon Fraser University, Canada
Shengtong Zhong, Norwegian University of Science and Technology, Norway

+Paper Submission:
A submission in PDF is limited to 6 pages for the DSCI paper,
following the IEEE proceedings format:
https://www.ieee.org/conferences_events/conferences/publishing/templates.html
Submit PDF file by email with the title 'DSCI + your paper title':
fhao@snnu.edu.cn

+Paper Publication:
Accepted conference papers will be published by IEEE (IEEE-DL and EI indexed).
At least one author of each accepted paper is required to register and present their
work at the conference; otherwise the paper will not be included in the proceedings.
Best Paper Awards will be presented to high-quality papers. Selected papers will be
recommended to special issues.

Should you have any other concern feel free to contact:
shuai.li@eng.cam.ac.uk

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