SD-Map – A Fast Algorithm for Exhaustive Subgroup Discovery-Reference-Cited by-同舟云学术

SD-Map – A Fast Algorithm for Exhaustive Subgroup Discovery

Published:2006 Issue: Volume: Page:6-17
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Atzmueller Martin,Puppe Frank

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11871637_6.pdf

Reference16 articles.

1. Klösgen, W.: Explora: A Multipattern and Multistrategy Discovery Assistant. In: Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.) Advances in Knowledge Discovery and Data Mining, pp. 249–271. AAAI Press, Menlo Park (1996)

2. Klösgen, W.: 16.3: Subgroup Discovery. In: Handbook of Data Mining and Knowledge Discovery. Oxford University Press, Oxford (2002)

3. Lecture Notes in Computer Science;S. Wrobel,1997

4. Atzmueller, M., Puppe, F., Buscher, H.P.: Exploiting Background Knowledge for Knowledge-Intensive Subgroup Discovery. In: Proc. 19th Intl. Joint Conference on Artificial Intelligence (IJCAI 2005), Edinburgh, Scotland, pp. 647–652 (2005)

5. Lavrac, N., Kavsek, B., Flach, P., Todorovski, L.: Subgroup Discovery with CN2-SD. Journal of Machine Learning Research 5, 153–188 (2004)

Cited by 68 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Subgroup Discovery with SD4Py;Communications in Computer and Information Science;2024

3. Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery;2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA);2023-10-09

4. VLSD—An Efficient Subgroup Discovery Algorithm Based on Equivalence Classes and Optimistic Estimate;Algorithms;2023-05-29

5. Overcoming cohort heterogeneity for the prediction of subclinical cardiovascular disease risk;iScience;2023-05