Search Results for author: Javad Rahimipour Anaraki

Found 5 papers, 1 papers with code

Privacy-preserving feature selection: A survey and proposing a new set of protocols

no code implementations17 Aug 2020 Javad Rahimipour Anaraki, Saeed Samet

However, traditional feature selection methods are only capable of processing centralized datasets and are not able to satisfy today's distributed data processing needs.

feature selection Privacy Preserving

A Feature Selection Based on Perturbation Theory

2 code implementations26 Feb 2019 Javad Rahimipour Anaraki, Hamid Usefi

Consider a supervised dataset $D=[A\mid \textbf{b}]$, where $\textbf{b}$ is the outcome column, rows of $D$ correspond to observations, and columns of $A$ are the features of the dataset.

feature selection

A Fuzzy-Rough based Binary Shuffled Frog Leaping Algorithm for Feature Selection

no code implementations31 Jul 2018 Javad Rahimipour Anaraki, Saeed Samet, Mahdi Eftekhari, Chang Wook Ahn

This paper presents a new feature selection method that efficiently carries out attribute reduction, thereby selecting the most informative features of a dataset.

feature selection

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