A Knowledge-Intensive Approach for Semi-automatic Causal Subgroup Discovery
作者： Martin Atzmueller , Frank Puppe
DOI: 10.1007/978-3-642-01891-6_2
关键词:
摘要: … summarizes how to construct an extended causal subgroup network, based on a technique for basic causal subgroup analysis described in [9, 8]. When applying the algorithm, the …
springer.com
researchgate.net 
sci-hub.st 参考文章(19)
Carem C. Fabris, Alex A. Freitas, Discovering Surprising Patterns by Detecting Occurrences of Simpson’s Paradox Springer, London. pp. 148- 160 ,(2000) , 10.1007/978-1-4471-0745-3_10
Matthias Huettig, Georg Buscher, Thomas Menzel, Wolfgang Scheppach, Frank Puppe, Hans-Peter Buscher, A diagnostic expert system for structured reports, quality assessment, and training of residents in sonography. Medizinische Klinik. ,vol. 99, pp. 117- 122 ,(2004) , 10.1007/S00063-004-1020-Y
Stefan Wrobel, An Algorithm for Multi-relational Discovery of Subgroups european conference on principles of data mining and knowledge discovery. pp. 78- 87 ,(1997) , 10.1007/3-540-63223-9_108
Martin Atzmueller, Frank Puppe, SD-Map – A Fast Algorithm for Exhaustive Subgroup Discovery Lecture Notes in Computer Science. pp. 6- 17 ,(2006) , 10.1007/11871637_6
Gregory F. Cooper, A Simple Constraint-Based Algorithm for Efficiently Mining Observational Databases for Causal Relationships Data Mining and Knowledge Discovery. ,vol. 1, pp. 203- 224 ,(1997) , 10.1023/A:1009787925236
Judea Pearl, Why there is no statistical test for confounding, why many think there is, and why they are almost right Department of Statistics, UCLA. ,(1998)
Frank Puppe, Martin Atzmueller, Hans-Peter Buscher, Exploiting background knowledge for knowledge-intensive subgroup discovery international joint conference on artificial intelligence. pp. 647- 652 ,(2005)
Craig Silverstein, Sergey Brin, Rajeev Motwani, Jeff Ullman, Scalable Techniques for Mining Causal Structures Data Mining and Knowledge Discovery. ,vol. 4, pp. 163- 192 ,(2000) , 10.1023/A:1009891813863
RAMIN HALAVATI, SAEED BAGHERI SHOURAKI, SIMA LOTFI, POOYA ESFANDIAR, SYMBIOTIC EVOLUTION OF RULE BASED CLASSIFIER SYSTEMS International Journal on Artificial Intelligence Tools. ,vol. 18, pp. 1- 16 ,(2009) , 10.1142/S0218213009000019
R McNamee, Confounding and confounders Occupational and Environmental Medicine. ,vol. 60, pp. 227- 234 ,(2003) , 10.1136/OEM.60.3.227