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   spring 2019 , Volume 17 , Number 1 ; Page(s) 16 To 24.
 
Paper: 

A Non-Parametric Proximity-Based Method For Outlier Detection

 
 
Author(s):  Salehi Y., Daneshpour N.*
 
* Faculty of Comp. Eng., 7 Shahid Rajaee Teacher Training University, Tehran, I.R. Iran
 
Abstract: 
The detection of outliers is a task in data mining and machine learning and it’ s an important step in data preprocessing. In this paper, in order to detect proximity-based outliers, a non-parametric method is proposed called NPOD. The proposed method is a combination of distance-based and density-based methods and has the ability to detect outliers in both local and global scenarios. This method does not require to determine any parameters of neighborhood radius, the threshold of existing points in the neighborhood radius, and the nearest neighbor parameters. In order to detect outliers, a new method of scoring is presented. Experimental results on the UCI datasets show that this algorithm, in spite of being non-parametric, has comparable results with previous methods. Also in some cases, it has the best performance.
 
Keyword(s): non-parametric,outlier detection,proximity-based
 
 
International related papers: 
  • No item.
 
Most related Highly related Moderately related Least related
 
References: 
  • Not Registered.
  •  
  •  
 
Citations: 
  • Not Registered.
 
+ Click to Cite.
APA: Copy

SALEHI, Y., & DANESHPOUR, N. (2019). A Non-Parametric Proximity-Based Method for Outlier Detection. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, 17(1 ), 16-24. https://www.sid.ir/en/journal/ViewPaper.aspx?id=671646



Vancouver: Copy

SALEHI Y., DANESHPOUR N.. A Non-Parametric Proximity-Based Method for Outlier Detection. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR. 2019 [cited 2022January23];17(1 ):16-24. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=671646



IEEE: Copy

SALEHI, Y., DANESHPOUR, N., 2019. A Non-Parametric Proximity-Based Method for Outlier Detection. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, [online] 17(1 ), pp.16-24. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=671646.



 
 
Persian Abstract Yearly Visit 66
 
 
Latest on Blog
Enter SID Blog