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Enterprise Model Advanced Statistical Theory Distributed Real-Time Confirmed, Confirmed Rejected Cases Ranked Active RT Hypothesis Monitoring Data Mining Adaptive RT Workflow Programming • Distributed Roles, Relations, Work Orders, Flow Management Workflow Active surveillance, data mining and statistical learning is a complex real-time workflow problem. The workflow needs to be explicit so that processes are repeatable. It requires Meta-data: input, output, fielding, sequencing process Ontology, threat models and data models for data interpretation and aggregation as each step Adaptive configuration of roles, relations, orders and dataflow Model based feedback to home in on high value targets High-Level View Network Analysis Hierarchical Network Views Group Terror Event Fatalities Weapon Reason Date (political, religious, …) Group Sale Dates Travel Communication Location Toll booth events Static View: Long-term statistics Location Sales Dealer Victim types (Police, civil., gov.,…) Account Weapon Location Financer Spatio-Temporal Sequence View: Intermediate-term sequence Trans. Dates Transactions Tripwire events Camera events Ticket Sensor Network Tracking View: Counter End-game sequence events Sense/Act View Location Toll booth events Tripwire events Camera events Ticket Sensor Network Tracking View: Counter End-game sequence events Response Tasks Surveillance Cameras Recon. Tripwire sensors Ambulance resources Network reconfiguration, New data types Police resources Resource Network View Military Fire-fighter resources Municipal Sequence Extraction, Prediction, and Feedback Group Sale Date Location Travel Communication Sales Dealer Account Weapon Financer Spatio-Temporal Sequence View Trans. Date Transactions Common Sequence Model: Sales, bank transacts., travel, comm. pattern event RT Monitored sequence Prediction Response Task Sequence Sequence Extraction, Prediction, and Feedback Location Toll booth events Tripwire events Camera events Ticket Sensor Network Tracking View Counter events Common sequence (Tracking) Model: Sensor hits, reports, surveillance event RT Monitored sequence Prediction Response Task Sequence Putting it Together Static View Network Static View Network Static View Network Space/Temp Seq. View Network Space/Temp Seq. View Network - Network algebra (merging primitives) - Copula models (understanding dependencies) - Mining algorithms - Sequence extraction - Prediction models Prediction Common sequences/prefixes Sensor Network Response Sensor Network Sensor Network Resource Network - Real-time models System View Real Time Dynamic Network Analysis Decision Making Static Network Inference & Mining Models Network Control Copula Model Fitting Data Sensor Index Multidimensional Index Data Repository
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