Assessing Trust over Uncertain Rules and Streaming Data

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Provided by: University of Aarhus
Topic: Big Data
Format: PDF
Decision makers are increasingly faced with the challenge of examining large volumes of information originating from heterogeneous sources requiring them to ascertain trust in various pieces of information. While several authors have explored various trust computation models on static data and certain rules, past work has typically assumed: a statistically significant number of ratings are available prior to trust assessment and assessed trust values tend to vary slowly over time. In contrast, military settings warrant: trust assessment over partial, uncertain and streaming information from heterogeneous sources, coping up with the dynamic and evolving nature of the ground truth and more importantly, rules used for making inferences may by themselves be uncertain.
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