Discovering Reliable Causal Rules

作者: Jilles Vreeken , Mario Boley , Kailash Budhathoki

DOI:

关键词: Artificial intelligenceComputer scienceConsistent estimatorConfoundingOutcome (probability)Machine learningEstimatorObservational studySample (statistics)Synthetic dataVariance (accounting)

摘要: … 4 (right), we report the probability of recovering the “true” rule at various sample sizes. We observe that the reliable causal effect is consistently better than other effect measures, and its …

参考文章(22)
Martin Atzmueller, Frank Puppe, A Knowledge-Intensive Approach for Semi-automatic Causal Subgroup Discovery Knowledge Discovery Enhanced with Semantic and Social Information. pp. 19- 36 ,(2009) , 10.1007/978-3-642-01891-6_2
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
Johannes Fürnkranz, Dragan Gamberger, Nada Lavrač, Foundations of Rule Learning Cognitive Technologies. pp. 353- 353 ,(2012) , 10.1007/978-3-540-75197-7
Pirooz Shamsinejadbabaki, Mohamad Saraee, Hendrik Blockeel, Causality-based cost-effective action mining intelligent data analysis. ,vol. 17, pp. 1075- 1091 ,(2013) , 10.3233/IDA-130621
Stephen D. Bay, Michael J. Pazzani, Detecting Group Differences: Mining Contrast Sets Data Mining and Knowledge Discovery. ,vol. 5, pp. 213- 246 ,(2001) , 10.1023/A:1011429418057
Mario Boley, Henrik Grosskreutz, Non-redundant subgroup discovery using a closure system european conference on machine learning. pp. 179- 194 ,(2009) , 10.1007/978-3-642-04180-8_29
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
Johannes F�rnkranz, Peter A. Flach, ROC 'n' rule learning: towards a better understanding of covering algorithms Machine Learning. ,vol. 58, pp. 39- 77 ,(2005) , 10.1007/S10994-005-5011-X
Guozhu Dong, Jinyan Li, Efficient mining of emerging patterns: discovering trends and differences knowledge discovery and data mining. pp. 43- 52 ,(1999) , 10.1145/312129.312191
J. R. Quinlan, R. M. Cameron-Jones, Induction of logic programs: FOIL and related systems New Generation Computing. ,vol. 13, pp. 287- 312 ,(1995) , 10.1007/BF03037228