DEMONSTRATE DATA MINING PRIVACY AND EXAMINING FUTURE CHALLENGES

Mohammad Poormahmood, Ali Omidfar

Abstract


Nowadays data mining discussion and available personal data has mod privacy a topic in the scientific community the methods of maintaining a privacy to the traditional way cannot support this data well and it can provide the urgent need to the maintaining data privacy. Consequently when they protect important information, the knowledge of data prevents from accessing them. In this article new research on data mining, privacy, some challenges (controversial terms), the existence and method of distortion of data to obtain association rules, privacy and privacy in data distribution are discussed! The purpose of this work is actually to provide criteria for assessing the details of privacy algorithms, includes algorithm performance, data usage, privacy and data mining problems. At the end of the discussion the development of data mining and privacy has been outlined for other areas.

Keywords


Protecting privacy, disruption of data, data distribution,data mining

Full Text:

PDF


DOI: https://doi.org/10.26483/ijarcs.v8i8.4512

Refbacks

  • There are currently no refbacks.




Copyright (c) 2017 International Journal of Advanced Research in Computer Science