RFCT: An association-based causality miner

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2338, Issue , 2002, Pages 334-338

  Karimi, Kamran ^a   Hamilton, Howard J ^a  

^a UNIVERSITY OF REGINA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

CAUSAL RELATIONS; POST-PROCESSING TECHNIQUES; PRE-PROCESSING; TEMPORAL DATA; TEMPORAL RELATIONSHIPS;

MINERS;

EID: 84974735967     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47922-8_29     Document Type: Conference Paper

References (9)

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2. Karimi, K. and Hamilton, H.J., Finding Temporal Relations: Causal Bayesian Networks vs. C4.5, The Twelfth International Symposium on Methodologies for Intelligent Systems (ISMIS'2000), Charlotte, NC, USA, October 2000.
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.
4. Karimi, L. and Hamilton, H.J., Temporal Rules and Temporal Decision trees: A C4.5 Approach, Technical Report CS-2001-02, Department of Computer Science, University of Regina, Regina, Saskatchewan, Canada, December 2001.
5. Korb, K. B. and Wallace, C. S., In Search of Philosopher’s Stone: Remarks on Humphreys and Freedman’s Critique of Causal Discovery, British Journal of the Philosophy of Science 48, pp. 543-553, 1997.
6. Nadel, B.A., Constraint Satisfaction Algorithms, Computational Intelligence, No. 5, 1989.
7. Pearl, J., Causality: Models, Reasoning, and Inference, Cambridge University Press. 2000.
8. Quinlan, J. R., C4.5: Programs for Machine Learning, Morgan Kaufmann, 1993.
9. Spirtes, P. and Scheines, R., Reply to Freedman, In McKim, V. and Turner, S. (editors), Causality in Crisis, University of Notre Dame Press, pp. 163-176, 1997.