International Journal of Computer Applications
Data mining tools aims to find useful patterns from large amount of data. These patterns represent information and are conveyed in decision trees, clusters or association rules. The knowledge discovered by various data mining techniques may contain private information about people or business. Preservation of privacy is a significant aspect of data mining and thus study of achieving some data mining goals without losing the privacy of the individuals'. The analysis of Privacy Preserving Data Mining (PPDM) algorithms should consider the effects of these algorithms in mining the results as well as in preserving privacy.