Alok Choudhary is General Chair of 29th International Conference on Scientific & Statistical Database Management

EECS was very actively involved in organizing this year’s International Conference on Scientific and Statistical Database Management (SSDBM), as Prof. Alok Choudhary was appointed as General Chair, Prof. Goce Trajcevski named as Local Organizing Chair; Bing Zhang (PhD 17') served as Webmaster, and PhD students Xiaofeng Zhu and Andi Zang were student-volunteers helping with many tasks that ensured the event was a pleasent experience for the attendees.

SSDBM 2017 was focused 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.

The main topics of particular interest to scientific and statistical data management that were addressed by research papers were:

•     Stream data management, e.g., storage, organization, compression, indexing and querying
•     Stream data analysis, e.g., summarization, statistical analysis, pattern matching, pattern discovery, learning, and prediction
•     Modeling and representation of streaming data
•     Case studies, particularly those at scale-of-consequence for health, energy, and environment
•     Integration and exchange of data, including the federation and management of institutional data repositories
•     Design, implementation, optimization of scientific workflows
•     System architectures for scientific and statistical data management and analysis
•     Querying of scientific data, including spatial, temporal, and streaming data
•     Mining and analysis of large-scale datasets, especially on new and emerging hardware and environments
•     Visualization and exploration
•     Information retrieval and text mining
•     Knowledge discovery, clustering, data mining

The department of EECS, McCormick School of Engineering and Applied Science, and Nortwhestern University were one of the main sponsors of the conference.