In the space domain, operators are faced with unmanageably large amounts of ambiguous data. The challenge, given manpower and time constraints, is using this data for situational awareness, space Command and Control (C2) and Courses of Action (COAs) development for Defensive and Offensive Counter Space (DCS/OCS). We will provide operational space expertise to tailor a co-orbital Anti-Satellite scenario for input into an existing data mining tool set. We will tailor inputs to the tool set, execute a mission thread focused on data mining, and provide outputs. Existing data mining algorithms feature rule induction, pattern matching, network analysis, belief networks and link analysis. Innovative technology includes: demonstrating a processing thread that orchestrates data mining, data fusion, and planning; combining the best of data mining and link analysis algorithms; and computing a new metric: adversary node importance under uncertainty. The demonstration will show the integration of an operational use case into a data mining tool. Operational relevancy will be examined iteratively. The tool will be tuned and evaluated for flexibility and utility. At the completion of the effort, AFRL will have data mining results upon which a Phase II decision can be made.
Benefit: Commercialization Strategy 1. The data mining tool will be matured in Phases II & III to a Technology Readiness Level 6. The goal is to transition the tool to a JSpOC Mission System (JMS) application, within a library of tools, for analyzing large sets of heterogeneous data in support of the DCS and SSA missions. 2. Commercial and Foreign Entities (CFE). Recent events such as Fengyun 1C and Iridium clearly demonstrate that the military space mission cannot be accomplished in a vacuum. There is an ever increasing amount of data being distributed by the JSpOC as well as other commercial and foreign space users. The data mining tool can be tailored in the future to mine and analyze data sets that are important to these users. The potential exists for adapting the data mining tool to assist them in making timely and cost effective decisions regarding their satellites and constellations. 3. NASA/Johnson Spaceflight Center. NASA/JSC receives and processes data from the JSpOC to ensure the crews of the International Space Station (ISS) and Space Shuttle are warned of and protected from potential collisions with other space objects. NASA uses its own internal data in concert with data from other sources to develop and execute COAs to protect their astronauts. The data mining tool could easily be adapted to support this mission using SSA data from the JSpOC in addition to its own internal data sets. 4. NASA/Goddard Mission. The Goddard Space Flight Center (GSFC) currently uses SSA data from the JSpOC to monitor several constellations of interest to ensure timely actions are taken in the event of a potential collision. The data mining tool could readily be modified to provide GSFC leadership with the capability to analyze data from multiple heterogeneous sources to protect the assets they monitor. 5. National Reconnaissance Office (NRO). The NRO has a vested interest in protecting its space assets in the accomplishment of its mission. The data mining tool could be expanded to mine classified data sets in concert with open source data to protect their assets and accomplish their assigned missions. 6. The Air Force Satellite Control Network will be able to employ the data mining tool to look for anomalies in sensor data and performance. 7. Unified Commands and Services. All Combatant Commands and Services deal with analyzing very large heterogeneous data sets. The data mining tool will be adapted to examine all relevant data sets to assist these organizations in accomplishing their missions. 8. A business plan for the data mining tool commercialization will be fully developed in Phase II. It will include industry/market/competitor analysis, commercialization plan, product analyses, pricing for Phase III services (including maintenance), and partner/license agreements. Our team intends to commercialize products from this new data mining capability and the USAF, Commercial and Foreign Space Entities (CFE), other Services, and Government Agencies are all potential customers.
Keywords: Data Mining Tool, Space Control, Large Heterogeneous Data Sets, Data Fusion, Rule Induction, Pattern Matching, Belief Network, Network And Link Analysis
