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What is Data Mining Technique

Encyclopedia of Artificial Intelligence
The main purpose or objective of the data mining modelling process. Each technique can be implemented using different DM algorithms.
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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Health Information System
Identifies valid, novel, potentially useful, and understandable correlations and patterns in data by combing through copious data sets to determine patterns that are too subtle or complex for humans to detect.
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