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Techniques For Privacy Preserving Data Mining Essay

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Techniques for privacy preserving data mining

Introduction

Data mining techniques provide good results only if input data is accurate. But data collected from users are often inaccurate.Users may deliberately enter inaccurate information if they are asked to provide personal information because of their worry that information may be misused by organisation to harass them. So we need to find data mining techniques that encourages the user to provide accurate information by ensuring them that data mining techniques used will not voilate their privacy and also produce accurate mining results.
Goals of privacy preserving data mining techniques are

Privacy- Degree of trust by users on organization.

Accuracy- Producing accurate data mining results.

Effeciency- Reducing time and other resources overhead required by data mining process.

Privacy and accuracy are contradictory to each other because improving one results in degradation of other.

Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases

Data mining-as-a-service:
An organisation(data owner) which lacks the expertise or computational resources required for data mining can outsource its data mining tasks to third party service provider(server).But there are various security issues associated with this kind of outsourcing because the server can misuse the data provide by the organisation directly or by extracting frequents patterns from it. However, both data and the association

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