An Encryption Scheme for Privacy Preserving in Data Mining using different classification Algorithm
Abstract: Data mining is the process of extracting useful information from the large amount of database at any time and at any place. The normalization is a process of organizing the data in database to avoid data redundancy, insertion anomaly, update anomaly & deletion anomaly. If a database design is not perfect, it may contain anomalies, which are like a bad dream for any database administrator. Managing a database with anomalies is next to impossible. In the proposed work, data set of normalization is analyzed. The analyzation process is done to remove the missing values from the database. Then an encryption function is developed. Different classifiers are implemented for accuracy of data.
Keywords: normalization, encryption, security, accuracy
How to Cite?: Anu Verma, Jyoti Arora, "An Encryption Scheme for Privacy Preserving in Data Mining using different classification Algorithm", Volume 5 Issue 6, June 2016, International Journal of Science and Research (IJSR), Pages: 2424-2427, https://www.ijsr.net/getabstract.php?paperid=ART201615, DOI: https://dx.doi.org/10.21275/ART201615