Title :
The research of outlier data cleaning based on accelerating method
Author :
Heyong, Wang ; Mingjian, Li ; Bingchuan, Chen
Author_Institution :
Coll. of E-Bus., South China Univ. of Technol., Guangzhou, China
Abstract :
During the data integration process, it puts forward the accelerating trend comparison method to deal with the outlier data in this paper. Namely outlier data is discovered through the accelerating trend comparison. At the end of this article, it gives a specific description of the algorithm of outlier data cleaning results. It can improve the detection of outlier data and the data quality through the experiments.
Keywords :
data handling; statistics; accelerating trend comparison method; data integration process; data quality; outlier data cleaning; outlier data detection; Acceleration; Cleaning; Clustering algorithms; Educational institutions; Explosives; Extraterrestrial measurements; Information technology; Object detection; Space technology; Sun; Data Cleaning; Outlier Data; Trend Comparison;
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
DOI :
10.1109/ICIME.2010.5477757
