DocumentCode
140963
Title
iCoDA: Interactive and exploratory data completeness analysis
Author
Ruilin Liu ; Guan Wang ; Wang, W.H. ; Korn, Flip
Author_Institution
Dept. of Comput. Sci., Stevens Inst. of Technol., Hoboken, NJ, USA
fYear
2014
fDate
March 31 2014-April 4 2014
Firstpage
1226
Lastpage
1229
Abstract
The completeness of data is vital to data quality. In this demo, we present iCoDA, a system that supports interactive, exploratory data completeness analysis. iCoDA provides algorithms and tools to generate tableau patterns that concisely summarize the incomplete data under various configuration settings. During the demo, the audience can use iCoDA to interactively explore the tableau patterns generated from incomplete data, with the flexibility of filtering and navigating through different granularity of these patterns. iCoDA supports various visualization methods to the audience for the display of tableau patterns. Overall, we will demonstrate that iCoDA provides sophisticated analysis of data completeness.
Keywords
data acquisition; data analysis; data visualisation; data completeness analysis; data quality; data visualization methods; iCoDA; interactive completeness data analysis; tableau pattern generation; Data visualization; Detectors; Image color analysis; Loss measurement; Monitoring; Roads; Temperature sensors; Data completeness; exploratory pattern analysis; graph tableau discovery; pattern visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering (ICDE), 2014 IEEE 30th International Conference on
Conference_Location
Chicago, IL
Type
conf
DOI
10.1109/ICDE.2014.6816747
Filename
6816747
Link To Document