Data Decomposition and Decision Rule Joining for Classification of Data with Missing Values-Reference-Cited by-同舟云学术

Data Decomposition and Decision Rule Joining for Classification of Data with Missing Values

Published:2004 Issue: Volume: Page:254-263
ISSN:0302-9743
Container-title:Rough Sets and Current Trends in Computing
language:
Short-container-title:

Author:

Latkowski Rafał,Mikołajczyk Michał

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-25929-9_30.pdf

Reference14 articles.

1. Lecture Notes in Artificial Intelligence,2002

2. Bazan, J.G., Szczuka, M.S., Wróblewski, J.: A new version of rough set exploration system. In: [1], pp. 397–404

3. Komorowski, J., Pawlak, Z., Polkowski, L., Skowron, A.: Rough sets: A tutorial. In: Pal, S.K., Skowron, A. (eds.) Rough Fuzzy Hybridization. A New Trend in Decision Making, Singapore, pp. 3–98. Springer, Heidelberg (1999)

4. Latkowski, R.: On decomposition for incomplete data. Fundamenta Informaticae 54, 1–16 (2003)

5. Lim, T.: Missing covariate values and classification trees (2000), http://www.recursivepartitioning.com/mv.shtml , Recursive-Partitioning.com

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