Mining Frequent Independent Patterns and Frequent Correlated Patterns Synchronously

@article{Zhou2008MiningFI,
  title={Mining Frequent Independent Patterns and Frequent Correlated Patterns Synchronously},
  author={Zhongmei Zhou},
  journal={2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery},
  year={2008},
  volume={5},
  pages={552-556}
}
One of the main tasks of KDTCM (knowledge discovery in Traditional Chinese Medicine) is discovering novel paired or grouped drugs in Chinese Medical Formula (CMF) database, which are special combinations of two or more drugs. Correlation mining is much effective because of the large number of correlation relationships among various kinds of drugs. However, an independent pattern might have much more probability than a correlated pattern to be a novel paired or grouped drug even if they have… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 10 references

Mining Both Associated and Correlated Patterns

International Conference on Computational Science • 2006
View 1 Excerpt

Discovery

G. Piatetsky-Shapiro
Analysis and Presentation of Strong Rules. Knowledge Discovery in Databases, AAAI/MIT Press • 1991
View 1 Excerpt

The Analysis of Cross-Classifications

H. T. Reynolds
The Free Press, New York • 1977
View 1 Excerpt

Statistical Methods

F. Mills
Pitman • 1955
View 1 Excerpt

Similar Papers

Loading similar papers…