Parallelization of a novel frequent itemset hiding algorithm on a cpu-gpu platform için kapak resmi
Parallelization of a novel frequent itemset hiding algorithm on a cpu-gpu platform
Başlık:
Parallelization of a novel frequent itemset hiding algorithm on a cpu-gpu platform
Yazar:
Heye, Samuel Bacha, author.
Yazar Ek Girişi:
Fiziksel Tanımlama:
xi, 114 leaves:+ 1 computer laser optical disc.
Özet:
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).
Yazar Ek Girişi:
Tek Biçim Eser Adı:
Thesis (Master)--İzmir Institute of Technology: Computer Engineering.

İzmir Institute of Technology: Computer Engineering--Thesis (Master).
Elektronik Erişim:
Access to Electronic Versiyon.
Ayırtma: Copies: