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Computational trust,Reinforcement learning,Q Learning,Policy path,Reward,Provenance,Bayesian model,Materialized views,Network congestion,Database roles
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doi:10.1186/s40537-017-0097-0
Springer International Publishing
Journal of Big Data, doi:10.1186/s40537-017-0097-0
Computational trust
Reinforcement learning
Q Learning
Policy path
Reward
Provenance
Bayesian model
Materialized views
Network congestion
Database roles
Learning topic description from clustering of trusted user roles and event models characterizing distributed provenance networks: a reinforcement learning approach
Sanjoy Kumar Mukherjee
Sivaji Bandyopadhyay
10.1186/s40537-017-0097-0
2010-04-23
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