Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/102068
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mendes, Ricardo | - |
dc.contributor.author | Vilela, João P. | - |
dc.date.accessioned | 2022-09-23T09:16:36Z | - |
dc.date.available | 2022-09-23T09:16:36Z | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 2169-3536 | pt |
dc.identifier.uri | https://hdl.handle.net/10316/102068 | - |
dc.description.abstract | The collection and analysis of data are continuously growing due to the pervasiveness of computing devices. The analysis of such information is fostering businesses and contributing bene cially to the society in many different elds. However, this storage and ow of possibly sensitive data poses serious privacy concerns. Methods that allow the knowledge extraction from data, while preserving privacy, are known as privacy-preserving data mining (PPDM) techniques. This paper surveys the most relevant PPDM techniques from the literature and the metrics used to evaluate such techniques and presents typical applications of PPDM methods in relevant elds. Furthermore, the current challenges and open issues in PPDM are discussed. | pt |
dc.language.iso | eng | pt |
dc.relation | project SWING2 (PTDC/EEITEL/3684/2014) | pt |
dc.relation | POCI-01-0145-FEDER-016753 | pt |
dc.rights | openAccess | pt |
dc.subject | privacy | pt |
dc.subject | data mining | pt |
dc.subject | privacy-preserving data mining | pt |
dc.subject | metrics | pt |
dc.subject | knowledge extraction | pt |
dc.title | Privacy-Preserving Data Mining: Methods, Metrics, and Applications | pt |
dc.type | article | - |
degois.publication.firstPage | 10562 | pt |
degois.publication.lastPage | 10582 | pt |
degois.publication.title | IEEE Access | pt |
dc.peerreviewed | yes | pt |
dc.identifier.doi | 10.1109/ACCESS.2017.2706947 | pt |
degois.publication.volume | 5 | pt |
dc.date.embargo | 2017-01-01 | * |
uc.date.periodoEmbargo | 0 | pt |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.openairetype | article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | Com Texto completo | - |
crisitem.author.researchunit | CISUC - Centre for Informatics and Systems of the University of Coimbra | - |
crisitem.author.parentresearchunit | Faculty of Sciences and Technology | - |
crisitem.author.orcid | 0000-0003-2077-7223 | - |
crisitem.author.orcid | 0000-0001-5805-1351 | - |
Appears in Collections: | I&D CISUC - Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Privacy-Preserving_Data_Mining_Methods_Metrics_and_Applications.pdf | 3.3 MB | Adobe PDF | View/Open |
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