Paper Info
Title
iCoDA: Interactive and exploratory data completeness analysis
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.
Year
DOI
Venue
2014
10.1109/ICDE.2014.6816747
ICDE
Keywords
Field
DocType
exploratory pattern analysis,data visualization methods,data analysis,tableau pattern generation,icoda,graph tableau discovery,data quality,data acquisition,data completeness,data visualisation,data completeness analysis,interactive completeness data analysis,pattern visualization,data visualization,detectors
Data mining,Data visualization,Data quality,Data analysis,Visualization,Computer science,Filter (signal processing),Granularity,Completeness (statistics),Database
Conference
ISSN
Citations 
PageRank 
1084-4627
0
0.34
References 
Authors
5
4
Name
Order
Citations
PageRank
Ruilin Liu115917.17
Guan Wang249635.22
Wendy Hui Wang313313.82
Flip Korn42141380.45