(Enter summary)
Abstract: Observing the world and finding trends and relations among the
variables of interest is an important and common learning activity. In this paper
we apply TETRAD, a program that uses Bayesian networks to discover causal
rules, and C4.5, which creates decision trees, to the problem of discovering
relations among a set of variables in the controlled environment of an Artificial
Life simulator. All data in this environment are generated by a single entity
over time. The rules in the domain... (Update)
Context of citations to this paper: More
...that depends on the others. Though C4.5 has been traditionally used as a classifier, it can also be used to find temporal relations [3]. C4.5 uses a greedy algorithm with one look ahead step. It computes the information contents of each condition attribute, and the results...
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2: Finding informative rules in interval sequences
- oppner, Klawonn - 2001
2: Programs for machine learning (context) - Quinlan - 1993
BibTeX entry: (Update)
Karimi, K. and Hamilton, H. J., "Finding Temporal Relations: Causal Bayesian Networks vs. C4.5." The 12th International Symposium on Methodologies for Intelligent Systems (ISMIS'2000), Charlotte, NC, USA. http://citeseer.ist.psu.edu/karimi00finding.html More
@inproceedings{ karimi00finding,
author = "Kamran Karimi and Howard J. Hamilton",
title = "Finding Temporal Relations: Causal Bayesian Networks vs. C4.5",
booktitle = "International Syposium on Methodologies for Intelligent Systems",
pages = "266-273",
year = "2000",
url = "citeseer.ist.psu.edu/karimi00finding.html" }
Citations (may not include all citations):
2177
Programs for Machine Learning (context) - Quinlan - 1993
663
Some Philosophical Problems from the Standpoint of Artificia.. (context) - McCarthy, Hayes - 1969
37
Scalable Techniques for Mining Causal Structures
- Silverstein, Brin et al. - 1998
22
A Bayesian Approach to Learning Causal Networks
- Heckerman - 1995
20
Artificial Life: A Quest for a New Creation (context) - Levy - 1992
8
Tetrad II: Tools for Causal Modeling (context) - Scheines, Spirtes et al. - 1994
3
Are There Algorithms that Discover Causal Structure (context) - Freedman, Humphreys - 1998
2
Reply to Freedman (context) - Spirtes, Scheines - 1997
1
and Wallace (context) - Korb - 1997
1
A Comparison of Association Rule Discovery and Bayesian Netw..
- Bowes, Neufeld et al.
1
British Journal of the Philosophy of Science (context) - Humphreys, Freedman - 1996
ftp://orion.cs.uregina.ca/pub/ural/URAL.java
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