A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases-Reference-Cited by-同舟云学术

A Novel Approach of Multilevel Positive and Negative Association Rule Mining for Spatial Databases

Published:2005 Issue: Volume: Page:620-629
ISSN:0302-9743
Container-title:Machine Learning and Data Mining in Pattern Recognition
language:
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Author:

Sharma L. K.,Vyas O. P.,Tiwary U. S.,Vyas R.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11510888_61

Reference10 articles.

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2. Guetting, R.H.: An Introduction to Spatial Database Systems. Special Issue on Spatial Database System of the VLDB Journal 3(4) (October 1994)

3. Han, J., Fu, Y.: Discovery of Multiple Level association rules from large database. In: Proc. of the Int. Conf. VLDB, pp. 420–431 (1995)

4. Han, J., Pei, J., Yin, Y., Mao, R.: Mining Frequent Patterns with out Candidate Generation: A Frequent Pattern Tree Approach. Kluwer Publication, Netherlands (2003)

5. Malerba, D., Lisi, F.A.: An ILP method for spatial association rule mining. Working notes of the first workshop on Multi Relational Data mining, Freiburg, Germany, pp. 18–29 (2001)

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