Click for new scientific resources and news about Corona[COVID-19]

Paper Information

Journal:   NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR   WINTER 2018 , Volume 15 , Number 4 ; Page(s) 283 To 294.
 
Paper: 

A HYBRID-BASED FEATURE SELECTION METHOD FOR HIGH-DIMENSIONAL DATA USING ENSEMBLE METHODS

 
 
Author(s):  ROUHI A., NEZAMABADI POUR H.*
 
* DEPT. OF ELEC. ENG., SHAHID BAHONAR UNIVERSITY OF KERMAN, KERMAN, I. R. IRAN
 
Abstract: 

Nowadays, with the advent and proliferation of high-dimensional data, the process of feature selection plays an important role in the domain of machine learning and more specifically in the classification task. Dealing with high-dimensional data, e.g. microarrays, is associated with problems such as increased presence of redundant and irrelevant features, which leads to decreased classification accuracy, increased computational cost, and the curse of dimensionality. In this paper, a hybrid method using ensemble methods for feature selection of high dimensional data, is proposed. In the proposed method, in the first stage, a filter method reduces the dimensionality of features and then, in the second stage, two state-of-the-art wrapper methods run on the subset of reduced features using the ensemble technique. The proposed method is benchmarked using 8 microarray datasets. The comparison results with several state-of-the-art feature selection methods confirm the effectiveness of the proposed approach.

 
Keyword(s): FEATURE SELECTION, HIGH-DIMENSIONAL DATA; HYBRID METHODS, META-HEURISTIC METHODS, FILTER METHODS, WRAPPER METHODS, ENSEMBLE METHODS
 
 
References: 
  • ندارد
  •  
 
Click to Cite.
APA: Copy

ROUHI, A., & NEZAMABADI POUR, H. (2018). A HYBRID-BASED FEATURE SELECTION METHOD FOR HIGH-DIMENSIONAL DATA USING ENSEMBLE METHODS. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, 15(4 ), 283-294. https://www.sid.ir/en/journal/ViewPaper.aspx?id=569590



Vancouver: Copy

ROUHI A., NEZAMABADI POUR H.. A HYBRID-BASED FEATURE SELECTION METHOD FOR HIGH-DIMENSIONAL DATA USING ENSEMBLE METHODS. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR. 2018 [cited 2021May12];15(4 ):283-294. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=569590



IEEE: Copy

ROUHI, A., NEZAMABADI POUR, H., 2018. A HYBRID-BASED FEATURE SELECTION METHOD FOR HIGH-DIMENSIONAL DATA USING ENSEMBLE METHODS. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, [online] 15(4 ), pp.283-294. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=569590.



 
 
Yearly Visit 61 Persian Abstract
 
Latest on Blog
Enter SID Blog