Distinguishing causal and acausal temporal relations

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2637, Issue , 2003, Pages 234-240

  Karimi, Kamran ^a   Hamilton, Howard J ^a  

^a UNIVERSITY OF REGINA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTERS; DATA REDUCTION; DECISION MAKING; PROBLEM SOLVING; SET THEORY;

CONDITION ATTRIBUTES; DECISION ATTRIBUTE; DIRECTION OF TIME; INVESTIGATION METHODS; SET OF RULES; TEMPORAL CHARACTERISTICS; TEMPORAL RELATION; TEMPORAL RULES;

DATA MINING;

DECISION ATTRIBUTES; TEMPORAL INVESTIGATION METHOD FOR ENREGISTERED RECORD SEQUENCES; TEMPORAL RULES; TEMPORAL SETS;

EID: 7444238198     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-36175-8_23     Document Type: Conference Paper

References (11)

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.
6. Krener, A. J. Acausal Realization Theory, Part I; Linear Deterministic Systems. SIAM Journal on Control and Optimization. 1987. Vol 25, No 3, pp. 499-525.
7. Pearl, J., Causality: Models, Reasoning, and Inference, Cambridge University Press. 2000.
8. Scheines, R., Spirtes, P., Glymour, C. and Meek, C., Tetrad II: Tools for Causal Modeling, Lawrence Erlbaum Associates, Hillsdale, NJ, 1994.
9. Schwarz, R. J. and Friedland B., Linear Systems. McGraw-Hill, New York. 1965.
10. http://typhoon.bae.lsu.edu/datatabl/current/sugcurrh.html. Content varies.
11. http://www.cs.uregina.ca/~karimi/downloads.html/URAL.java