An improved Item-based Maxcover Algorithm to protect Sensitive Patterns in Large Databases
P.Cynthia Selvi · IOSR Journal of Computer Engineering · 2013
Privacy Preserving Data Mining(PPDM) is a rising field of research in Data Mining and various approaches are being introduced by the researchers.One of the approaches is a sanitization process, that transforms the source database into a modified one by removing selective items so that the counterparts or adversaries cannot extract the hidden patterns from.This study address this concept and proposes a revised Item-based Maxcover Algorithm(IMA) which is aimed at less information loss in the large databases with minimal removal of items.