Araştırma Çıktıları | Scopus İndeksli Yayınlar Koleksiyonu by İSTE Author "Zorarpacı, Ezgi"

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Data clustering using leaders and followers optimization and differential evolution

Zorarpacı, Ezgi (Elsevier, 2022)

Data clustering is an important research topic in data mining. Although cluster analysis based on optimization algorithms has attracted great attention, optimization-based techniques face difficul-ties due to the non-linear ...
Privacy preserving classification over differentially private data

Zorarpacı, Ezgi; Özel, Selma Ayşe (Wiley, 2021)

Privacy preserving data classification is an important research area in data mining field. The goal of a privacy preserving classification algorithm is to protect the sensitive information as much as possible, while providing ...
Privacy preserving rule-based classifier using modified artificial bee colony algorithm

Zorarpacı, Ezgi; Özel, Selma Ayşe (Elsevier, 2021)

Privacy preserving data mining is a hot research field of data mining. The aim of privacy preserving data mining is to prevent the leakage of the sensitive information of individuals while performing data mining techniques. ...