This work is an initial exploration of the use of the decision-theoretic concept of utility to guide pattern mining. We … formulate several pattern mining problems that use utility functions. Utility guided pattern mining provides the twin benefits … utility guided pattern mining problem. It addresses the drawbacks of threshold guided pattern mining, the specification of …

intervention can prevent these crashes. This paper presents a novel methodology, based on data mining techniques, to identify … approach to analyse road crashes. Our data mining approach is supported with proven theory and will allow road safety …

collected at the scene. Outcomes were measured during a three month follow-up. The data were analyzed with modern data mining …

discovery and data mining modeling problems. In this dissertation work, a framework named Granular Support Vector Machines (GSVM … GSVM-AR (association rule mining) algorithm, a family of GSVM-RFE (recursive feature elimination) algorithms, the GSVM … intelligent data mining systems for high quality prediction. …