Research Tool

This project identifies delays in a process and develops a method to ultimatley improve routing and scheduling

Sponsor: Queensland Department of Mines and Energy Research Team: Scott Shappell Universities Involved: Clemson University Start Date: 03/01/08 End Date: 02/28/09 Summary: To date, little research has been done on the causes of human error in mining. With the inherent risks associated with mining, preventing errors before they occur will […]

This project reduces a massive data-set to a manageable size without significant loss of information through a graph-based data mining approach.