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
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;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.1111
