Model Composition in Multi-dimensional Data Spaces

  • Haihong Yu
  • Jigui Sun
  • Xia Wu
  • Zehai Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4481)

Abstract

Model composition is an important problem in model management. In this paper, we propose a new method to support model composition in multi-dimensional data spaces. We define a model as a 6-tuple with input interface and output interface. An algorithm for model composition and execution is given. Moreover, the method has been applied into a practical project. The running statistics showed that there had been 105 instances of model composition, and 89 decision problems had been effectively solved.

Keywords

Decision Support System Model Management Model Composition Multi-dimension Data 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Haihong Yu
    • 1
    • 2
  • Jigui Sun
    • 1
    • 2
  • Xia Wu
    • 1
    • 2
  • Zehai Li
    • 1
    • 2
  1. 1.College of Computer Science and Technology, Jilin University, 130012 ChangchunChina
  2. 2.Key Laboratory of Symbolic Computation and Knowledge Engineering, of Ministry of Education, 130012 ChangchunChina

Personalised recommendations