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Decision Miner

Most information systems log events (e.g., in transaction logs, audit trails) to audit and monitor the processes they support. Proper analysis of these process execution logs can yield important knowledge and help organizations improve the quality of their services. The Decision Miner analyzes how data attributes influence the choices made in the process based on past process executions. More precisely, it aims at the detection of data dependencies that affect the routing of a case. The approach is based on machine learning techniques, and the Decision Miner uses algorithms implemented in the Weka [1] library to solve the classification problem.

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