Mining Inconsistent Data with Probabilistic Approximations
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-06883-1_8
Reference14 articles.
1. Clark PG, Grzymala-Busse JW (2011) Experiments on probabilistic approximations. In: Proceedings of IEEE international conference on granular computing, pp 144–149
2. Clark PG, Grzymala-Busse JW (2012) Experiments using three probabilistic approximations for rule induction from incomplete data sets. In: Proceedings of European conference on data mining, pp 72–78
3. Clark PG, Grzymala-Busse JW, Kuehnhausen M (2012) Local probabilistic approximations for incomplete data. In: Proceedings of 20th international symposium on methodologies for intelligent systems, pp 93–98
4. Grzymala-Busse JW (2003) Rough set strategies to data with missing attribute values. In: Proceedings of 3rd international conference on data mining, pp 56–63
5. Grzymala-Busse JW (2004) Data with missing attribute values: Generalization of indiscernibility relation and rule induction. Trans Rough Sets 1:78–95
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