The workshop will be held on at VIP 3 (琵琶亭) , InterContinental Hotel Shenzhen ( view map ) , a five star hotel located in Overseas Chinese Town, a scenic spot in the Nanshan District...
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Workshop on Scalable Data Analytics: Theory and Applications - Program | sda-icdm2014.weebly.com Reviews
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The workshop will be held on at VIP 3 (琵琶亭) , InterContinental Hotel Shenzhen ( view map ) , a five star hotel located in Overseas Chinese Town, a scenic spot in the Nanshan District...
sda-icdm2014.weebly.com
News - Workshop on Scalable Data Analytics: Theory and Applications
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Workshop on Scalable Data Analytics: Theory and Applications. April 22, 2014:. Workshop proposal is accepted. May 1st, 2014:. September 26, 2014:. Deadline is extended to . November 10, 2014. December 1, 2014. Create a free website.
Organization - Workshop on Scalable Data Analytics: Theory and Applications
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Workshop on Scalable Data Analytics: Theory and Applications. The Chinese University of Hong Kong. Michael R. Lyu. The Chinese University of Hong Kong. The Chinese University of Hong Kong. Lidong Bing, The Chinese University of Hong Kong, Hong Kong. Duen Horng (Polo) Chau, Georgia Tech, USA. Fei Chiang, McMaster University, Canada. Yi Cai, South China University of Technology, China. Fengjun Li, University of Kansas, USA. Mei Liu, New Jersey's Science and Technology University, USA. Create a free website.
Submission - Workshop on Scalable Data Analytics: Theory and Applications
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Workshop on Scalable Data Analytics: Theory and Applications. In conjunction with the. IEEE International Conference on Data Mining. Shenzhen China, Dec. 14, 2014. September 26, 2014:. Due date for workshop papers submission. October 10, 2014:. Notification of paper decision to authors. October 26, 2014:. Camera-ready of accepted papers. December 14, 2014:. We call for original and unpublished research contributions limited to a maximum of eight (8) pages in the IEEE 2-column format. Create a free website.
Home - Workshop on Scalable Data Analytics: Theory and Applications
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Workshop on Scalable Data Analytics: Theory and Applications. In conjunction with the. IEEE International Conference on Data Mining. Shenzhen China, Dec. 14, 2014. The workshop aims to provide professionals, researchers, and technologists with a single forum where they can discuss and share the state-of-the-art theories and applications of scalable data analytics technologies. Distributed data analytics architectures. Data analytics algorithms for GPUs. Data analytics algorithms for clouds. Link predicti...
Talks - Workshop on Scalable Data Analytics: Theory and Applications
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Workshop on Scalable Data Analytics: Theory and Applications. Invited Talk: Speed, Stream, Structure: Scalable Analytics for Mining Complex Data. Biography of Prof. Zhu. Advance in Distributed Storage Coding and Systems. Biography of Prof. Li. Talk: Big Education- A Case of Big Data in eLearning. Biography of Prof. King. Prof King is an associate dean of engineering faculty and a professor at the Department of Computer Science and Engineering, The Chinese University of Hong Kong. He received his B...
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ICDM 2014 | Workshops - icdm2014
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ICDM 2014 IEEE International Conference on Data Mining - Home. ICDM 2014 Organization Committee. ICDM 2014 Program Committee. ICDM 2014 Call for Tutorials. ICDM 2014 Call for Demos. ICDM 2014 Call for PhD Forum. ICDM 2014 Call for Papers. ICDM 2014 Call for Workshops. ICDM 2014 Key Dates. ICDM 2014 Submission Instructions. Redirect to Call for Participation. ICDM 2014 Student Travel Awards. ICDM 2014 Accepted Papers. Redirect to Advance Program. ICDM 2014 Advance Program. ICDM 2014 Call for Participation.
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Workshop on Scalable Data Analytics: Theory and Applications - Program
Workshop on Scalable Data Analytics: Theory and Applications. The workshop will be held on at VIP 3 (琵琶亭). A five star hotel located in Overseas Chinese Town, a scenic spot in the Nanshan District of Shenzhen City. 9009 Shennan Road, Shenzhen, P. R. China. The program is here. December 14 (Sunday), 2014. Session 1: Welcome, Invited Talk, and Papers. Speed, Stream, Structure: Scalable Analytics for Mining Complex Data. Efficient Uncertain Frequent Pattern Mining with Tightened Upper Bounds. Efficient unce...
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