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  • 7. İYTE Tezler / IZTECH Theses & Dissertations
  • Master Degree / Yüksek Lisans Tezleri
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  •   DSpace@IZTECH
  • 7. İYTE Tezler / IZTECH Theses & Dissertations
  • Master Degree / Yüksek Lisans Tezleri
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Parallelization of a novel frequent itemset hiding algorithm on a CPU-GPU platform

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MasterThesis (1.440Mb)

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info:eu-repo/semantics/openAccess

Date

2014

Author

Heye, Samuel Bacha

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Abstract

Data mining is used to extract useful information from large data. But the organizations which mine the data might not be the owner of the data. So, before the owners can make their data accessible for data mining they want to make sure that no sensitive information can be mined from the released data whose discovery by others might harm them. Itemset hiding is one mechanism to prevent the disclosure of sensitive itemsets. In this thesis, a new integer programing based itemset hiding algorithm was developed and a mechanism to speed up the computation time of its implementation was proposed by using parallel computation on Graphical Processing Units (GPUs).

URI

http://hdl.handle.net/11147/4190

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  • Master Degree / Yüksek Lisans Tezleri [1791]



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