Yazar "Okkalıoğlu, Burcu Demirelli" için listeleme
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Bölünmüş veri-tabanlı gizliliği koruyan ortak filtreleme sistemlerinde gizli verinin elde edilmesi
Ortak filtreleme algoritmalarının doğru ve güvenilir öneriler üretebilmesi için yeterli veriye ihtiyaç vardır. Bu nedenle yetersiz veriye sahip iki elektronik alışveriş sitesi gizliliklerini ihlal etmeden aralarındaki ... -
Deriving private data in partitioned data-based privacy-preserving collaborative filtering systems
Okkalıoğlu, Burcu Demirelli; Koç, Mehmet; Polat, Hüseyin (Gazi University, Fac Engineering Architecture, 2017)Collaborative filtering algorithms need enough data to provide accurate and reliable predictions. Hence, two e-commerce sites holding insufficient data may want to provide predictions on their partitioned data with privacy. ... -
Reconstructing rated items from perturbed data
Okkalıoğlu, Burcu Demirelli; Koç, Mehmet; Polat, Hüseyin (Elsevier Science BV, 2016)The basic idea behind privacy-preserving collaborative filtering schemes is to prevent data collectors from deriving the actual rating values and the rated items. Different data perturbation methods have been proposed to ... -
A survey: deriving private information from perturbed data
Okkalıoğlu, Burcu Demirelli; Okkalıoğlu, Murat; Koç, Mehmet; Polat, Hüseyin (Springer, 2015)Privacy-preserving data mining has attracted the attention of a large number of researchers. Many data perturbation methods have been proposed to ensure individual privacy. Such methods seem to be successful in providing ...
