DocumentCode
2227333
Title
Study on Data Quality Control Method Based on Network Survey
Author
Wang, Jun ; Li, Xiang
Author_Institution
Coll. of Comput. & Software, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
3451
Lastpage
3454
Abstract
There is invalid data in the network survey data inevitably. Therefore, we need distinguish and remove these data before further analysis. In this paper, we discuss the survey data quality control approaches and propose an effective method via explicit rule extraction and data clustering. The examples demonstrate the effectiveness of the clustering method.
Keywords
pattern clustering; quality assurance; data clustering; data quality control method; explicit rule extraction; network survey; Clustering methods; Computer networks; Data analysis; Data engineering; Data mining; Educational institutions; Information science; Quality control; Software quality; Weather forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.1111
Filename
5455314
Link To Document