Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Existing approaches for business process mining cannot satisfy Real-Time Enterprise (RTE) goals, such as time-based competition. To support RTE requirements  propose a Process Learning System (PLS) that is capable of learning business processes from a few observed traces and do this in a timeframe that is close to the actual time for completing the process. Unlike existing approaches PLS employs a rich process model that facilitates "guessing" business processes, utilizes domain-specific knowledge captured by activity and resource ontologies, ensures that learned processes comply with specified business rules, and optimizes them to reduce required cost and time.   focus on the architecture of PLS, and describe the functionality and algorithms employed by key PLS components.  use examples from initial experiments involving learning of processes that assemble complex products from specialized parts.
['Rodion M. Podorozhny', 'Anne H. H. Ngu', 'Dimitrios Georgakopoulos']
I am writing a research paper on a idea Business process learning for real time enterprises
[{"from": "human", "value": "I am writing a research paper on a idea Business process learning for real time enterprises"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Existing approaches for business process mining cannot satisfy Real-Time Enterprise (RTE) goals, such as time-based competition. To support RTE requirements  propose a Process Learning System (PLS) that is capable of learning business processes from a few observed traces and do this in a timeframe that is close to the actual time for completing the process. Unlike existing approaches PLS employs a rich process model that facilitates \"guessing\" business processes, utilizes domain-specific knowledge captured by activity and resource ontologies, ensures that learned processes comply with specified business rules, and optimizes them to reduce required cost and time.   focus on the architecture of PLS, and describe the functionality and algorithms employed by key PLS components.  use examples from initial experiments involving learning of processes that assemble complex products from specialized parts."}]