The shear volume of the results in traditional support based frequent sequential pattern mining methods has led to increasing interest in new intelligent mining methods to find mo...
Various data mining methods have been developed last few years for hepatitis study using a large temporal and relational database given to the research community. In this work we i...
Tu Bao Ho, Canh Hao Nguyen, Saori Kawasaki, Si Qua...
A pixel-pattern-based texture feature (PPBTF) is proposed for real-time gender recognition. A gray-scale image is transformed into a pattern map where edges and lines are to be use...
Huchuan Lu, Yingjie Huang, Yen-Wei Chen, Deli Yang
Database workloads seldom remain static. A system tuned by an expert for the current environment, might not always remain optimal. To deal with this situation, database systems ha...
Christian A. Lang, Bishwaranjan Bhattacharjee, Tim...
In this work, we propose a multi-relational concept discovery method for business intelligence applications. Multi-relational data mining finds interesting patterns that span ove...
Seda Daglar Toprak, Pinar Senkul, Yusuf Kavurucu, ...