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Call for Participation :ADMA 2016 2016-11-18

Call for Participation
ADMA 2016: 12th International Conference on Advanced Data Mining and Applications
12-15 December 2016, Gold Coast, Australia
http://cs.adelaide.edu.au/~adma2016/

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You are warmly invited to participate the 12th International Conference on Advanced Data Mining and Applications (ADMA 2016).

ADMA aims at bringing together the experts on the data mining community from around the world, and providing a leading international forum for the dissemination of original research findings in data mining, spanning applications, algorithms, software and systems, as well as different applied disciplines with potential in data mining, such as smartphone and social network mining, bio-medical science, green computing, and the Internet of Things. ADMA 2016 will promote the same close interaction and collaboration among practitioners and researchers. The conference will feature research presentations, forward-looking keynote presentations, and research demonstrations.

This year, ADMA will also be held together with 2016 Social Computing Summit (http://scs.uqcloud.net/), which brings together leading researchers and practitioners from academic, industry, and government agencies to share recent results and insights in social computing. 

The conference will take place in Gold Coast, Australia on December 12-15. As one of the most popular tourist destinations in Australia visited by more than 10 million tourists each year, Gold Coast is known for its long sandy beaches, surfing spots, and theme parks such as Dreamworld. It will also be the host city of the 2018 Commonwealth Games.

For travel/visa arrangements, please check
http://cs.adelaide.edu.au/~adma2016/list94c6.html?id=1502

Registration is available at
https://payments.uq.edu.au/OneStopWeb/aspx/tranform.aspx?TRAN-TYPE=W01ITEE05

Early Bird registration is due on **30 November 2016**.

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Program Highlights
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Keynotes by four renowned experts:

Classification under Inference Rules: Algorithms, Lower Bounds, and Open Questions
by Prof. Yufei Tao, University of Queensland, Australia

Take a Step to the Side Data Scientist... Make Room for the Data Artist!
by Prof. Pablo Moscato, ARC Future Fellow, University of Newcastle, Australia

Analytics and A New Approach to Strategic Workforce Management in the NSW Public Sector
by Scott Johnston, Director, Workforce Information, NSW Public Service Commission, Australia

Querying, Exploring and Mining Geospatial Social Media Data
by A/Prof. Gao Cong, Nanyang Technological University, Singapore

Presentations of 18 spotlight research papers, 39 regular research papers, and 3 research demonstrations.

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