Techniques for computing fitness of use (FoU) for time series datasets with applications in the geospatial domain

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Time series data are widely used in many applications including critical decision support systems. The goodness of the dataset, called the Fitness of Use (FoU), used in the analysis has direct bearing on the quality of the information and knowledge generated and hence on the quality of the decisions based on them. Unlike traditional quality of data which is independent of the application in which it is used, FoU is a function of the application. As the use of geospatial time series datasets increase in many critical applications, it is important to develop formal methodologies to compute their FoU and propagate it to the derived information, knowledge and decisions. In this paper we propose a formal framework to compute the FoU of time series datasets. We present three different techniques using the Dempster - Shafer belief theory framework as the foundation. These three approaches investigate the FoU by focusing on three aspects of data: data attributes, data stability, and impact of gap periods, respectively. The effectiveness of each approach is shown using an application in hydrological datasets that measure streamflow. While we use hydrological information analysis as our application domain in this research, the techniques can be used in many other domains as well.

Original languageEnglish (US)
Pages (from-to)91-115
Number of pages25
JournalGeoInformatica
Volume12
Issue number1
DOIs
StatePublished - Mar 1 2008

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fitness
time series
Time series
Bearings (structural)
Information analysis
decision support system
streamflow
Decision support systems
methodology
decision
analysis

Keywords

  • Dempster-Shafer belief theory
  • Fitness of Use (FoU)
  • Time series data

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development

Cite this

Techniques for computing fitness of use (FoU) for time series datasets with applications in the geospatial domain. / Fu, Lei; Soh, Leen-Kiat; Samal, Ashok K.

In: GeoInformatica, Vol. 12, No. 1, 01.03.2008, p. 91-115.

Research output: Contribution to journalArticle

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