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dc.contributor.authorBui, Dang Bach
dc.contributor.supervisorDr Fedja Hadzic
dc.contributor.supervisorDr Duc-Son Pham

Conventional approaches to analysing complex business data typically rely on process models, which are difficult to construct and use. This thesis addresses this issue by converting semi-structured event logs to a simpler flat representation without any loss of information, which then enables direct applications of classical data mining methods. The thesis also proposes an effective and scalable classification method which can identify distinct characteristics of a business process for further improvements.

dc.publisherCurtin University
dc.titleMining complex structured data: Enhanced methods and applications
curtin.departmentDepartment of Computing
curtin.accessStatusOpen access

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