Please use this identifier to cite or link to this item:
Title: Parallelization of a novel frequent itemset hiding algorithm on a CPU-GPU platform
Other Titles: Yeni bir sık kümeleri gizleme algoritmasının CPU-GPU platformu üzerinde parallelleştirmesi
Authors: Ayav, Tolga
Heye, Samuel Bacha
Keywords: Data mining
Graphical Processing Units
Issue Date: 2014
Publisher: Izmir Institute of Technology
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).
Description: Thesis (Master)--Izmir Institute of Technology, Computer Engineering, Izmir, 2014
Includes bibliographical references (leaves. 111-114)
Text in English; Abstract: Turkish and English
xi, 114 leaves
Appears in Collections:Master Degree / Yüksek Lisans Tezleri

Files in This Item:
File Description SizeFormat 
10021883.pdfMasterThesis1.47 MBAdobe PDFThumbnail
Show full item record

CORE Recommender

Page view(s)

checked on Oct 3, 2022


checked on Oct 3, 2022

Google ScholarTM


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.