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dc.contributor.authorPatel, Nikunjkumar
dc.contributor.authorSengupta, Sam; Adviser
dc.contributor.authorAndriamanalimanana, Bruno; Reviewer
dc.contributor.authorNovillo, Jorge; Reviewer
dc.date.accessioned2016-06-21T19:56:20Z
dc.date.accessioned2020-06-22T14:35:18Z
dc.date.available2016-06-21T19:56:20Z
dc.date.available2020-06-22T14:35:18Z
dc.date.issued2015-05-06
dc.identifier.urihttp://hdl.handle.net/20.500.12648/1085
dc.descriptionApproved and recommended for acceptance as a project in partial fulfillment of the requirements for the degree of Master of Science in Computer and Information Sciences.en_US
dc.description.abstractIn recent years, data mining has become important player in determining future business strategies. Data mining helps identifying patterns and trends from large amount of data, which can be used for reducing cost, increasing revenue and many more. With increased use of various data mining technologies and larger storage devices, amount of data collected and stored is significantly increased. This data contains personal information like credit card details, contact and residential information, etc. All these reasons have made it inevitable to concentrate on privacy of the data. In order to alleviate privacy concerns, a number of techniques have recently been proposed to perform the data mining in privacy preserving way. This project briefs about various data mining models and explains in detail about perturbation techniques. Main objective of this project is to achieve two things. First, preserve the accuracy of the data mining models and second, preserve the privacy of the original data. The discussion about transformation invariant data mining models has shown that multiplicative perturbations can theoretically guarantee zero loss of accuracy for a number of models.en_US
dc.language.isoen_USen_US
dc.subjectdata miningen_US
dc.subjectperturbation techniquesen_US
dc.titleData Mining: Privacy Preservation in Data Mining Using Perturbation Techniquesen_US
dc.typeOtheren_US
refterms.dateFOA2020-06-22T14:35:19Z
dc.description.institutionSUNY Polytechnic Institute


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