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What is Data-Centric Approach (DCA)

Chapter 194
Encyclopedia of Artificial Intelligence
The concept that data protection techniques must be independent of (standard) DM algorithms. That is, the masked data must be analyzable using multiple DM algorithms while providing results comparable to the results from analyzing the original data.
Published in Chapter:
Privacy-Preserving Estimation
Mohammad Saad Al-Ahmadi (King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia) and Rathindra Sarathy (Oklahoma State University, USA)
Copyright: © 2009 |Pages: 7
DOI: 10.4018/978-1-59904-849-9.ch194
Abstract
Data mining has evolved from a need to make sense of the enormous amounts of data generated by organizations. But data mining comes with its own cost, including possible threats to the confidentiality and privacy of individuals. This chapter presents a background on privacy-preserving data mining (PPDM) and the related field of statistical disclosure limitation (SDL). We then focus on privacy-preserving estimation (PPE) and the need for a data-centric approach (DCA) to PPDM. The chapter concludes by presenting some possible future trends.
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