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Comprehensive Study on Privacy Preserving Frequent Pattern Mining from Big Uncertain Data
Author Name : Bharti
Nowadays, valuable big data are generated and collected rapidly from numerous rich data sources. Following the drives of open data, numerous associations including civil legislatures will share their data, for example, open big data in regards to stopping infringement. While there have been models to safeguard privacy of delicate individual data like patient data for wellbeing informatics, privacy of people who disregarded stopping guidelines ought to likewise be secured. Thus, in this article, we have concentrated on supporting privacy-preserving big data examination on worldly open big data. Assessment on open big data from two North American urban communities shows the helpfulness of our model in supporting privacy-preserving big data examination on worldly open big data.