SH34A-06:
Mining of Solar Big Data: Challenges and Opportunities

Wednesday, 17 December 2014: 5:27 PM
Rafal Angryk, Georgia State University, Atlanta, GA, United States
Abstract:
The focus of this talk is on the challenges and opportunities linked to the big data analytics of the Solar Observatory (www.nasa.gov/sdo/), which is a flagship of NASA's current "Living with a Star" program. The audience will first learn about the importance of solar data analysis, then about the complexity of data maintained on the servers in our Data Mining Lab (dmlab.cs.montana.edu/). After that, our three ongoing research projects will be discussed: (1) the Content-based Image Retrieval (CBIR) system for solar data, (2) the development of machine learning techniques for automated validation and expansion of FFT's software modules, and (3) the search for spatio-temporal co-occurrence patterns among different types of solar activity. Finally, we will briefly talk about the future of our solar databases and data mining projects.