Research Summaries

Back Cloud Technologies for Automated Tagging and Cryptographic Biding

Fiscal Year 2012
Division Research & Sponsored Programs
Department Cebrowski Institute
Investigator(s) Gondree, Mark A.
Martell, Craig H.
Sponsor National Reconnaissance Office (DoD)
Summary The cloud provided a rich framework for intelligence-related data analysis leveraging massive, scalable, parallelizable computations on data mined from multiple sources (SMS messages, blogs, YouTube videos, etc.). This intuition is based in the fact that state-of-the-art techniques in machine learning techniques for further selection and automated tagging are becoming powerful and accurate enough to help with problems of interest to the NRO/IAO and larger intelligence communities. As it's been shown that all automated techniques improve with more data, the context of the cloud provides a rich proving ground for all future automated data analysis tasks. Toward this vision, our project presents two constructive and complimentary technologies.
Keywords
Publications Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal