Research on synthetic decision support technology based on data farming

Haobin Shi, Zhujun Yu, Wenbin Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to solve the problems existed in current decision support system, such as closed, model-oriented, forbidding uncertainty and risk, oriented to analysis of few determined scenario, a novel synthetic decision support system(SDSS) based on data farming is proposed and established in this paper. Taking data warehouse as platform, the SDSS searches unknown information and unexpected knowledge by use of data farming, while data mining is utilized to extract reliable, original and valuable knowledge from large quantities of data. The organic combination of data farming, data mining and data warehouse opens up a new way for research on decision support system, and simulated experiments verify the validity of this technology.

Original languageEnglish
Title of host publicationInternational Conference on Space Information Technology 2009
DOIs
StatePublished - 2010
EventInternational Conference on Space Information Technology 2009 - Beijing, China
Duration: 26 Nov 200927 Nov 2009

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7651
ISSN (Print)0277-786X

Conference

ConferenceInternational Conference on Space Information Technology 2009
Country/TerritoryChina
CityBeijing
Period26/11/0927/11/09

Keywords

  • data farming
  • data mining
  • data warehouse
  • decision support

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