Outlier Detection in Stream Data by Clustering Method

International Journal of Advanced Computer Science and Information Technology (IJACSIT) Vol. 2, No. 3, 2013, Page: 25-34

10 Pages Posted: 10 Jan 2014

See all articles by Hossein Moradi Koupaie

Hossein Moradi Koupaie

Universiti Teknologi MARA (UiTM)

Suhaimi Ibrahim

Universiti Teknologi Malaysia

Javad Hosseinkhani

Islamic Azad University (IAU)

Date Written: January 8, 2014

Abstract

The fundamental and active research problem in a lot of fields is outlier detection. It is involved many applications. A lot of these methods based on distance measure. But for stream data these methods are not efficient. Most of the previous work on outlier detection declares online outlier and these have less accuracy and it may be lead to a wrong decision. moreover the exiting work on outlier detection in data stream declare a point as an outlier/inlier as soon as it arrive due to limited memory resources as compared to the huge data stream, to declare an outlier as it arrive often can lead us to a wrong decision, because of dynamic nature of the incoming data. The aim of this study is to present an algorithm to detect outlier in stream data by clustering method that concentrate to find real outlier in period of time. It is considered some outlier that has received in previous time and find out real outlier in stream data. The accuracy of this method is more than other methods.

Keywords: Outlier Detection, Stream Data, Clustering Method, Efficient Algorithm

Suggested Citation

Moradi Koupaie, Hossein and Ibrahim, Suhaimi and Hosseinkhani, Javad, Outlier Detection in Stream Data by Clustering Method (January 8, 2014). International Journal of Advanced Computer Science and Information Technology (IJACSIT) Vol. 2, No. 3, 2013, Page: 25-34, Available at SSRN: https://ssrn.com/abstract=2376191

Hossein Moradi Koupaie (Contact Author)

Universiti Teknologi MARA (UiTM) ( email )

Johor Bahru
Skudai
Shah Alam, Selangor 40450
Malaysia

Suhaimi Ibrahim

Universiti Teknologi Malaysia ( email )

Advanced Informatics School
Universiti Teknologi Malaysia
Kuala Lumpur, 54100
Malaysia

HOME PAGE: http://www.ais.utm.my/suhaimi

Javad Hosseinkhani

Islamic Azad University (IAU) ( email )

Hamedan, Iran
Iran
Tehran, Isfahan 461-15655
Iran

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
414
Abstract Views
1,670
Rank
129,954
PlumX Metrics