My research interests are focused on KDD (Knowledge Discovery in Databases) and more specifically Data Mining. I have been conducting research in the field of KDD since 2007 (prior to this my research interests were in AI). The initial work was on Image Mining and more specifically (2D) Medical Image Classification. Current work is directed at the wider application of data mining: Graph Mining – (3D) Medical Image Mining, Quantum machine learning, Deep learning, Data Science.

Speed up Association Rule Mining process in Distributed Databases Generation of Data is occurring in increasing rapid rates, the need for fast processing of this data is urgent for multiple organizations. Distributed Data Mining of Association rules is one of the most important needed knowledge about the data. The purpose of this project is to enhance the Distributed Data Mining of Association rules process in terms of speed and computational cost.