An enhanced secure preserving for pre-processed data using DMI and PCRBAC algorithm
R. S. Ramya, S. Priyadarshini, Sajja Karthik · 2012
Data preprocessing plays an important role in data mining for ensuring better quality of data. The data being extracted from raw data will contain impurities, noisy data which leads to inefficient data analysis, inaccurate decisions and user inconveniencies. Data pre-processing tasks involves identifying the outliers, cleaning of noisy data. In this paper we present a "Decision tree based Missing value Imputation technique" (DMI) which makes use of an EM algorithm and a decision tree (DT) algorithm. The result of pre-processed data should be secured using the privacy preserving techniques. The privacy of the data can be obtain by applying the cryptographic techniques which provides access to the stored data based on individual's roles that makes the data secure from the unauthorised access.