Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Mehmet Ercan Nergiz"'
Publikováno v:
IEEE Transactions on Dependable and Secure Computing. 17:443-450
Many data mining applications such as clustering and $k$ k -NN search rely on distances and relations in the data. Thus, distance preserving transformations, which perturb the data but retain records’ distances, have emerged as a prominent privacy
Publikováno v:
Encyclopedia of Cryptography, Security and Privacy ISBN: 9783642277399
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2074991437c9d8d8a510c3bb92c46b5f
https://doi.org/10.1007/978-3-642-27739-9_1570-1
https://doi.org/10.1007/978-3-642-27739-9_1570-1
Publikováno v:
Data & Knowledge Engineering. 113:43-63
Location tracking devices enable trajectories to be collected for new services and applications such as vehicle tracking and fleet management. While trajectory data is a lucrative source for data analytics, it also contains sensitive and commercially
Autor:
Mehmet Akin, Mehmet Ercan Nergiz
Publikováno v:
Symmetry; Volume 9; Issue 11; Pages: 276
Symmetry, Vol 9, Iss 11, p 276 (2017)
Symmetry, Vol 9, Iss 11, p 276 (2017)
Retinal vessel segmentation is one of the preliminary tasks for developing diagnosis software systems related to various retinal diseases. In this study, a fully automated vessel segmentation system is proposed. Firstly, the vessels are enhanced usin
Publikováno v:
The VLDB Journal. 23:609-625
The rise of mobile technologies in the last decade has led to vast amounts of location information generated by individuals. From the knowledge discovery point of view, these data are quite valuable, but the inherent personal information in the data
Publikováno v:
Computers & Security. 37:143-154
Public opinion is the belief or thoughts of the public regarding a particular topic, especially one regarding politics, religion or social issues. Opinions may be sensitive since they may reflect a person's perspective, understanding, particular feel
Educational data contains valuable information that can be harvested through learning analytics to provide new insights for a better education system. However, sharing or analysis of this data introduce privacy risks for the data subjects, mostly stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::598af54cde480bd5fd400fdc8e4b9e58
https://aperta.ulakbim.gov.tr/record/47823
https://aperta.ulakbim.gov.tr/record/47823
Instance-based learning, and the k-nearest neighbors algorithm (k-NN) in particular, provide simple yet effective classification algorithms for data mining. Classifiers are often executed on sensitive information such as medical or personal data. Dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2609f07a87bae3b6132755a00f68d079
https://aperta.ulakbim.gov.tr/record/50169
https://aperta.ulakbim.gov.tr/record/50169
Many applications today rely on storage and management of semi-structured information, for example, XML databases and document-oriented databases. These data often have to be shared with untrusted third parties, which makes individuals’ privacy a f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::496585ff6d6f721684e402c36db117a7
https://research.sabanciuniv.edu/id/eprint/29133/
https://research.sabanciuniv.edu/id/eprint/29133/
Publikováno v:
IEEE Transactions on Information Technology in Biomedicine. 16:413-423
Electronic medical record (EMR) systems have enabled healthcare providers to collect detailed patient information from the primary care domain. At the same time, longitudinal data from EMRs are increasingly combined with biorepositories to generate p