Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2013 (Vol. 6, Issue: 08)
Article Information:

Outlier Detection Scoring Measurements Based on Frequent Pattern Technique

Aiman Moyaid Said, Dhanapal Durai Dominic and Brahim Belhaouari Samir
Corresponding Author:  Aiman Moyaid Said 

Key words:  Anomaly, frequent pattern mining, outlier detection, outlier measurement, , ,
Vol. 6 , (08): 1341-1347
Submitted Accepted Published
August 02, 2012 September 03, 2012 July 10, 2013
Abstract:

Outlier detection is one of the main data mining tasks. The outliers in data are more significant and interesting than common ones in a wide variety of application domains, such as fraud detection, intrusion detection, ecosystem disturbances and many others. Recently, a new trend for detecting the outlier by discovering frequent patterns (or frequent item sets) from the data set has been studied. In this study, we present a summarization and comparative study of the available outlier detection scoring measurements which are based on the frequent patterns discovery. The comparisons of the outlier detection scoring measurements are based on the detection effectiveness. The results of the comparison prove that this approach of outlier detection is a promising approach to be utilized in different domain applications.
Abstract PDF HTML
  Cite this Reference:
Aiman Moyaid Said, Dhanapal Durai Dominic and Brahim Belhaouari Samir, 2013. Outlier Detection Scoring Measurements Based on Frequent Pattern Technique.  Research Journal of Applied Sciences, Engineering and Technology, 6(08): 1341-1347.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved