Orientation and conformance: A HMM-based approach to online conformance checking

Online conformance checking comes with new challenges, especially in terms of time and space constraints. One fundamental challenge explaining the a running case is balancing between making sense at process level as reaches completion putting emphasis on current information same time. In this paper, we propose an online framework that tackles problem by incorporating step estimating “location” within scope modeled before computation. This means broken down into two steps: orientation conformance. The steps are related: knowing “where” respect to allows explanation more accurate coherent such turn better orientations. Based Hidden Markov Models (HMM), approach works alternating orienting An implementation available Python package experimental results show yields correlate prefix alignment costs under both conforming non-conforming scenarios while maintaining constant complexity per event.