SSDBM2017: 29th International Conference on Scientific and Statistical Database Management The Gleacher Center Chicago, IL, United States, June 27-29, 2017 |
Conference website | http://ssdbm2017.eecs.northwestern.edu/ |
Submission link | https://easychair.org/conferences/?conf=ssdbm2017 |
Abstract registration deadline | February 3, 2017 |
Submission deadline | February 10, 2017 |
The 29th International Conference on Scientific and Statistical Database Management (SSDBM 2017)
June 27-29, 2017 (Submissions due: February 3rd, 2017)
Chicago, USA
The recent success of "Big Data" is in part the results of the decades of research work on large scientific and statistical data. Indeed, scientific data sets such as those from large physics experiments and statistical data sets such as those from national censuses are the original forms of "Big Data." The tools and techniques developed for these forms of "Big Data" have led to the discovery of the Higgs Boson (aka, the god particle) and the emergence of behavioral economics. As forms and varieties of scientific and statistical data evolve, work on organizing, analyzing, publishing and preserving the data sets and their derived artifacts is thriving. In particular, advances in computer architectures and High Performance Computing (HPC) techniques are opening new opportunities to accelerate the analysis of even large data sets. The SSDBM international conference brings together scientific domain experts, database researchers, practitioners, and system developers for the presentation and exchange of current research results on concepts, tools, and techniques for scientific and statistical data-based applications. This conference series has a long history of publishing state-of-art work on large scientific and socioeconomic data. The conference program typically consists of a single track to facilitate discussion, and contains presentations of varying lengths, such as invited talks, panel sessions, and demonstrations of research prototypes and industrial systems.
The 29th SSDBM (aka SSDBM 2017) invites submissions of original research contributions on scalable algorithms and practical system designs involving all aspects of large scientific data and statistical data. SSDBM 2017 will have a focus on high-performance predictive analytics tools and techniques, with a special emphasis on streaming data from multiple sources.
Topics of Interest
Topics of particular interest include, but are not limited to, the following, as they relate to scientific and statistical data management:
- 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 energy, economy, and health
- 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
- Techniques for comparing simulation and experimental data
- Visualization and exploration of large datasets
- Information retrieval and text mining
- Knowledge discovery, clustering, graph analysis
Venue
The Gleacher Center
The University Chicago Booth School of Business
450 North Cityfront Plaza Drive
Chicago, Illinois 60611
Important dates:
Submissions due: February 3rd, 2017
Notifications: April 18, 2017
Conference dates: June 27-29, 2017
Conference dinner: June 28, 2017
Organizers
General Chair: Alok Choudhary
Program Chair: John Wu
Local Organizing: Goce Trajcevski
Logistics: Arie Shoshani
Proceedings: Bin Dong
Demos: Florin Rusu