Learning topic description from clustering of trusted user roles and event models characterizing distributed provenance networks: a reinforcement learning approach

Learning topic description from clustering of trusted user roles and event models characterizing distributed provenance networks: a reinforcement learning approach

Abstract This paper proposes a reinforcement learning based message transfer model for transferring news report messages through a selected path in a trusted provenance network with the objective of maximizing the reward values based on trust or importance based and network congestion or utility bas...

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Bibliographic Details
Main Authors: Sanjoy Kumar Mukherjee, Sivaji Bandyopadhyay
Format: Article
Language:English
Published: SpringerOpen 2017-10-01
Series:Journal of Big Data
Subjects:
Computational trust
Reinforcement learning
Q Learning
Policy path
Reward
Provenance
Online Access:http://link.springer.com/article/10.1186/s40537-017-0097-0

Internet

http://link.springer.com/article/10.1186/s40537-017-0097-0

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