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A Review on Privacy-Preserving Techniques in Data Analytics

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dc.contributor.authorKhairul Anuar N.en_US
dc.contributor.authorAbu Bakar A.en_US
dc.contributor.authorAbu Bakar A.en_US
dc.contributor.authorid57465772100en_US
dc.contributor.authorid35178991300en_US
dc.contributor.authorid57296095700en_US
dc.date.accessioned2023-05-29T09:09:47Z
dc.date.available2023-05-29T09:09:47Z
dc.date.issued2021
dc.descriptionPredictive analytics; Privacy-preserving techniques; Data analytics; Privacy preservation; Semi-structured; Structured data; Data Analyticsen_US
dc.description.abstractThis paper reviews privacy-preserving techniques in data analytics. Data analytics is a concept of processing raw data and analysing the output for various beneficial reasons. There are four types of data analytics stated in this paper, those are descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics. Data itself contains unstructured, semi-structured and structured data. We compare the privacy-preserving techniques in data analytics to see whether the techniques are suitable or unsuitable to be applied in data analytics. � 2021 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ICSIP52628.2021.9688624
dc.identifier.epage1052
dc.identifier.scopus2-s2.0-85125200597
dc.identifier.spage1048
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85125200597&doi=10.1109%2fICSIP52628.2021.9688624&partnerID=40&md5=7adc8783853a850c001ca80cb1fdc326
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26385
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2021 6th International Conference on Signal and Image Processing, ICSIP 2021
dc.titleA Review on Privacy-Preserving Techniques in Data Analyticsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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