Paper Info
Title
Quality Improvement Framework For Business Oriented Geo-Spatial Data
Abstract
In the past few years, Geo-spatial data quality has received increasing attention and concerns. As more and more business decisions are made based on data analytic result from geo-spatial related data, low quality data means wrong or inappropriate decisions, which could have substantial effects on a business's future. In this paper, we propose a framework that can systematically ensure and improve geo-spatial data quality throughout the whole life cycle of data.
Year
DOI
Venue
2014
10.1007/978-3-319-20370-6_19
WEB INFORMATION SYSTEMS ENGINEERING - WISE 2014 WORKSHOPS
Keywords
Field
DocType
computer science
Artifact-centric business process model,Spatial analysis,Data science,Data mining,Data quality,Computer science,Data governance,Database,Quality management
Conference
Volume
ISSN
Citations 
9051
0302-9743
0
PageRank 
References 
Authors
0.34
7
2
Name
Order
Citations
PageRank
Xiao-Feng Du1186.17
William Wei Song26511.35