Guest editors’ introduction: Special Issue from ECML PKDD 2009
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s10994-009-5138-2.pdf
Reference14 articles.
1. Akoglu, L., & Faloutsos, C. (2009). A recursive realistic graph generator using random typing. Data Mining and Knowledge Discovery, 19(2), 194–209.
2. Bonchi, F., Castillo, C., & Donato, D. (2009). Taxonomy-driven lumping for sequence mining. Data Mining and Knowledge Discovery, 19(2), 227–244.
3. Cheng, W., & Huellermeier, E. (2009). Combing instance-based learning and logistic regression for multi-label classification. Machine Learning, 76(2–3), 211–225.
4. Gärtner, T., & Vembu, S. (2009). On structured output training: hard cases and an efficient alternative. Machine Learning, 76(2–3), 227–242.
5. Grosskreutz, H., & Rüping, S. (2009). Subgroup discovery in numerical domains. Data Mining and Knowledge Discovery, 19(2), 210–226.
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