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Large scientific simulations and experiments are generating petabytes of data. At the same time, the user-generated content on the cloud is even larger. Effective data analysis tools could open new and unexpected opportunities of innovation in science and in business.
The SSDBM international conference brings together scientific domain experts, database researchers, practitioners, and developers for the presentation and exchange of current research results on concepts, tools, and techniques for scientific and statistical database applications. The conference program will be single track to facilitate discussion, and will contain presentations of varying lengths, invited talks, panel sessions, and demonstrations of research prototypes and industrial systems.
The 29th SSDBM (aka SSDBM 2017) invites submissions on original research contributions, scalable algorithms, and practical system designs on all topics involving scientific data and statistical data. SSDBM 2017 will have a focus on high-performance data analysis tools and techniques for large data sets, with a special emphasis on streaming data coming out of large experimental and observational devices.