Main Reference PaperEfficient Recommendation of De-identification Policies using MapReduce, IEEE Transactions on Big Data, April 2017 [Python/Hadoop].
  • An effective policy generation algorithm is proposed in which the policy generation time and size of policy set is decreased using SKY-FILTER-MR three-round MapReduce-based parallel algorithm that provides skyline de-identification policies efficiently.

Description
  • An effective policy generation algorithm is proposed in which the policy generation time and size of policy set is decreased using SKY-FILTER-MR three-round MapReduce-based parallel algorithm that provides skyline de-identification policies efficiently.

  • To recommend deidentification policies effectively.

  • To generate de-identification policies efficiently.

Aim & Objectives
  • To recommend deidentification policies effectively.

  • To generate de-identification policies efficiently.

  • A technique of dealing with unordered attributes is proposed.

Contribution
  • A technique of dealing with unordered attributes is proposed.

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-Depending on the complexity of the project and requirements.

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