Temporal Pattern Mining in Dynamic Environments
Andreas D. Lattner · 2007
Dynamic scenes with many different objects and interrelations changing over time demand complex representations. The identification of frequent patterns and prediction rules in such scenes would be very valuable as associations in the data could be discovered or a system’s performance could even be improved by utilizing the new information in the behavior decision process. In this work, a novel approach to temporal pattern mining in dynamic environments has been proposed. 1