Author:
Karimi Kamran,Hamilton Howard J.
Publisher
Springer Berlin Heidelberg
Reference11 articles.
1. Hoeppner, F., Discovery of Temporal Patterns: Learning Rules about the Qualitative Behaviour of Time Series, Principles of Data Mining and Knowledge Discovery (PKDD’2001), 2001.
2. Karimi, K., and Hamilton, H.J., TimeSleuth: A Tool for Discovering Causal and Temporal Rules, 14th IEEE International Conference On Tools with Artificial Intelligence (ICTAI’2002), Washington DC, USA, November 2002, pp. 375–380.
3. Karimi K., and Hamilton H.J., Learning With C4.5 in a Situation Calculus Domain, The Twentieth SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence (ES2000), Cambridge, UK, December 2000, pp. 73–85.
4. Karimi K., and Hamilton H.J., Discovering Temporal Rules from Temporally Ordered Data, The Third International Conference on Intelligent Data Engineering and Automated Learning (IDEAL’2002), Manchester, UK, August 2002, pp. 334–338.
5. Kennett, R.J., Korb, K.B., and Nicholson, A.E., Seabreeze Prediction Using Bayesian Networks: A Case Study, Proc. Fifth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’01). Hong Kong, April 2001.
Cited by
7 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