enterprise model distributed real-time data mining advanced statistical theory ranked hypothesis...
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Enterprise Model
Distributed
Real-Time
Data Mining
Advanced
Statistical Theory
Ranked
Hypothesis
Active RT
Monitoring
Confirmed,
Rejected
Adaptive RT Workflow Programming
• Distributed Roles, Relations, Work Orders, Flow Management
Confirmed
Cases
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
Ref: Open source ontology-based reasoning on workflow
www.isi.edu/ikcap/wings
High-Level View
Network Analysis
Hierarchical Network Views
Location
Terror Event Fatalities
Date
Weapon
Group
Reason(political, religious, …)
Victim types(Police, civil., gov.,…)
Static View:Long-term statistics
WeaponDealer
Financer
Account
Transactions
Sales
Location
Sale Dates Trans.
Dates
Group
CommunicationTravel Spatio-Temporal Sequence View:
Intermediate-term sequence
Location
Toll booth eventsCamera events
Tripwire events
TicketCounterevents
Sensor Network Tracking View: End-game sequence
Sense/Act View
Location
Toll booth eventsCamera events
Tripwire events
TicketCounterevents
Sensor Network Tracking View: End-game sequence
Resource Network View
Police resources
Fire-fighter resources
Military
SurveillanceCameras
Tripwire sensors
Ambulance resources
Recon.
Municipal
ResponseTasks
Network reconfiguration,New data types
Sequence Extraction, Prediction, and Feedback
WeaponDealer
Financer
Account
Transactions
Sales
Location
Sale Date Trans.
Date
Group
Common Sequence Model: Sales, bank transacts., travel, comm. pattern event
CommunicationTravel Spatio-Temporal Sequence View
RT Monitored sequence
PredictionResponseTaskSequence
Sequence Extraction, Prediction, and Feedback
Location
Toll booth eventsCamera events
Tripwire events
TicketCounterevents
Sensor Network Tracking View
Common sequence (Tracking) Model: Sensor hits, reports, surveillance event
RT Monitored sequence
Prediction ResponseTaskSequence
Putting it Together
StaticView
Network- Network algebra (merging primitives)- Copula models (understanding dependencies)- Mining algorithms
StaticView
Network
StaticView
Network
Space/TempSeq. ViewNetwork
Space/TempSeq. ViewNetwork
Common sequences/prefixes
- Sequence extraction- Prediction models
Prediction
SensorNetwork
SensorNetwork
SensorNetwork
Response
ResourceNetwork
- Real-time models
…Data
Sensor
Static Network Inference & Mining
DataRepository
Models
Multidimensional Index
Index
Copula ModelFitting
Real Time Dynamic Network Analysis
NetworkControl
System View
Decision Making