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Abstract

Data size has grown a large in present years by the development of internet in large manner so that big data era arrives, with the cloud computing users able to store large amount of data in ease manner. Users now use both thestructured data and as well as unstructured data.In big data due to its large size all the tasks are consuming more amount of time. The internet users also share their private data like health records and financial transaction records for mining or data analysis purpose during that time data anonymization is used for hiding identity or sensitive intelligence so that data owners do not suffer with economical loss. Anonymizing large scale data within a short span of time is a challenging task to overcome that Enhanced Top – Down Specialization approach (ETDS) can be developed which is an enhancement of Two – Phase Top Down Specialization approach (TPTDS).

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How to Cite
S.Sivasankar, & T.Prabhakaran. (2015). PRIVACY PRESERVATION IN BIG DATA USING ENHANCED TOP-DOWN SPECIALIZATION APPROACH . International Journal of Intellectual Advancements and Research in Engineering Computations, 3(3), 274–280. Retrieved from https://ijiarec.com/ijiarec/article/view/1316