Exceptional Association Rule Set Mining from Oral Health Assessment Database

Author:

Shimada Kaoru,Noguchi Satoshi,Makino Michiko,Naito Toru

Publisher

Springer International Publishing

Reference10 articles.

1. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: VLDB 1994, Santiago de Chile, Chile, pp. 487–499 (1994)

2. Han, J., Pei, J., Yin, Y., Mao, R.: Mining frequent patterns without candidate generation: a frequent-pattern tree approach. Data Mining Knowl. Discov. 8, 53–87 (2004)

3. Ivancevic, V., Tusek, I., Tusek, J., Knezevic, M., Elheshk, S., Lukovic, I.: Using association rule mining to identify risk factors for early childhood caries. Comput. Methods Programs Biomed. 122, 175–181 (2015)

4. Li, W., Han, J., Pei, J.: CMAR: accurate and efficient classification based on multiple class-association rules. In: ICDM 2001, San Jose, California, USA, pp. 369–376 (2001)

5. Liu, B., Hsu, W., Ma, Y.: Integrating classification and association rule mining. In: ICKDDM 1998, New York, NY, USA, pp. 80–86 (1998)

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