White Papers

Privacy-Preserving Data Mining Using Multi-Group Randomized Response Techniques

Overview Privacy is an important issue in data mining and knowledge discovery. This paper describes a specific privacy preserving data mining problem: Company C wants to collect data from its customers to form a data set for data mining purpose. For the data collection, C sends out a survey containing a set of questions; each customer needs to answer those questions and sends back the answers. However, because the survey contains sensitive questions, not every user feels comfortable to disclose his/her answers to those questions; how could one develop a method such that C cannot find out any customer's actual answers, while still being able to derive reasonably accurate data mining results? The paper proposes to use the randomized response techniques to conduct the data collection.

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Publisher: Syracuse University
File Format: PDF
Date Published: Oct 1, 2008
Format: White Papers
Topics: Knowledge and Data Management, Data Mining - Analysis

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