Bi-Level Associative Classifier Using Automatic Learning on Rules

Author:

Sood Nitakshi,Bindra Leepakshi,Zaiane OsmarORCID

Publisher

Springer International Publishing

Reference19 articles.

1. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Proceedings of 20th International of Very Large Databases (VLDB), vol. 1215, pp. 487–499 (1994)

2. Antonie, M., Zaiane, O.R.: Text document categorization by term association. In: proceedings of IEEE International Conference on Data Mining, pp. 19–26 (2002)

3. Antonie, M.L., Zaïane, O.R.: An associative classifier based on positive and negative rules. In: Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, pp. 64–69 (2004)

4. Antonie, M.L., Zaiane, O.R., Holte, R.C.: Learning to use a learned model: a two-stage approach to classification. In: Sixth International Conference on Data Mining (ICDM), pp. 33–42. IEEE (2006)

5. Bayardo Jr., R.J.: Brute-force mining of high-confidence classification rules. KDD 97, 123–126 (1997)

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