Understanding social welfare service patterns using sequential analysis

  • Authors:
  • Hye-Chung (Monica) Kum;Dean Duncan;Wei Wang

  • Affiliations:
  • University of North Carolina at Chapel Hill;University of North Carolina at Chapel Hill;University of North Carolina at Chapel Hill

  • Venue:
  • dg.o '04 Proceedings of the 2004 annual national conference on Digital government research
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

Classical exploratory data analysis methods in statistics and many of the earlier KDD methods tend to focus only on basic data types, (interval or categorical data) as the unit of analysis. However, some information cannot be interpreted unless the data is treated as a unit. For example, viewing the data as sequences of sets can reveal useful information that could not be extracted in any other way. Analyzing suitable databases from such a perspective can assist many social scientists in their work.