Using Genetic Process Mining Technology to Construct a Time-Interval Process Model

Nowadays, some process information is represented by a process model. To understand process executed in many activities, process mining technologies are now extensively studied to understand the relations and sequences between events (tasks). However, three major problems in the current process mining techniques are identified. First, the problems such as invisible tasks, noisy and non-free choice constructs and so on are difficult to be handled and current process mining techniques mainly based on the local search strategy which is to build the process model with information step by step. Second, time stamp are not considered so that the patterns with different time-intervals are regarded as the same behaviors. Third, there is no precision evaluation measure to evaluate the quality of process models in existing process mining techniques. To solve these difficulties, this research proposes a time-interval process mining method which considers time-interval between tasks. Furthermore, ...

• Type: Conference
• Year: 2009
• Where: IEAAIE
• Authors: Chieh-Yuan Tsai, I-Ching Chen
• Keywords: Artificial Intelligence, IEAAIE 2009, Process Mining, Process Mining Techniques, Process Model