Thanveer Jahan

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Privacy Preserving plays a vital role; in designing various security-related data mining applications. Protecting sensitive information in data mining has become an important issue. Data distortion or data perturbation is a critical component, widely used to protect sensitive data. Many approaches try to preserve privacy by adding noise or by matrix(More)
In designing various security and privacy related data mining applications, privacy preserving has become a major concern. Protecting sensitive or confidential information in data mining is an important long term goal. An increased data disclosure risks may encounter when it is released. Various data distortion techniques are widely used to protect(More)
In Data mining is the method of extracting the knowledge from huge amount of data and interesting patterns. With the rapid increase of data storage, cloud and service-based computing, the risk of misuse of data has become a major concern. Protecting sensitive information present in the data is crucial and critical. Data perturbation plays an important role(More)
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