Knowledge discovery in the Split Up project

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Knowledge discovery in the Split Up project

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International Conference on Artificial Intelligence and Law archive
Proceedings of the 6th international conference on Artificial intelligence and law table of contents

Melbourne, Australia

Pages: 89 - 97

Year of Publication: 1997

ISBN:0-89791-924-6

Authors

John Zeleznikow	CLAIR Project, Database Research Laboratory, Applied Computing Research Institute, La Trobe University, Bundoora Victoria Australia, 3083
Andrew Stranieri	School of Information Technology and Mathematical Sciences, University of Ballarat, Victoria, Australia, 3353

Sponsors

SIGART: ACM Special Interest Group on Artificial Intelligence
IAAIL : Intl Asso for Artifical Intel & Law
UMIACS : U of MD Inst for Advanced Comp Studies
University of Melbourne : University of Melbourne

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 4, Downloads (12 Months): 8, Citation Count: 7

Additional Information:

references cited by index terms collaborative colleagues

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Decker, K. M. and Focardi, $. 1995. Technology Overview: A Report on Data Mining. Technical Report 95- 02. Swiss Scientific Computing Centre, CSCS-ETH, CH- 6928, Manno, Switzerland.
	2	Usama Fayyad , Gregory Piatetsky-Shapiro , Padhraic Smyth, The KDD process for extracting useful knowledge from volumes of data, Communications of the ACM, v.39 n.11, p.27-34, Nov. 1996 [doi>10.1145/240455.240464]
	3	Gregory Piateski , William Frawley, Knowledge Discovery in Databases, MIT Press, Cambridge, MA, 1991
	4	Simon Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall PTR, Upper Saddle River, NJ, 1994
	5	Hunter, D. 1994. Looking for law in all the wrong places: Legal theory and legal neural networks. In Legal knowledge based systems: The relation with legal theory. 55-64, Lelystad: Vermande.
	6	Janet Kolodner, Case-based reasoning, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1993
	7	MacCormick, D. N. 1978. Legal Reasoning and Legal Theory. Oxford: Clarendon Press.
	8	Anandeep S. Pannu, Using genetic algorithms to inductively reason with cases in the legal domain, Proceedings of the 5th international conference on Artificial intelligence and law, p.175-184, May 21-24, 1995, College Park, Maryland, United States [doi>10.1145/222092.222232]
	9	Pound, R. 1908. Mechanical Jurisprudence. Columbia Lm~, Review, 8:605.
	10	J. R. Quinlan, Induction of Decision Trees, Machine Learning, v.1 n.1, p.81-106 [doi>10.1023/A:1022643204877]
	11	Edwina L. Rissland , M. Timur Friedman, Detecting change in legal concepts, Proceedings of the 5th international conference on Artificial intelligence and law, p.127-136, May 21-24, 1995, College Park, Maryland, United States [doi>10.1145/222092.222209]
	12	Stranieri, A., Zeleznikow, J. Gawler, M., and Lewis, B. 1997.A hybrid rule- neural approach for the automation of legal reasoning in the discretionary domain of family law in Australia. to appear in Artificial Intelligence and Law. Special Issue on Machine Learning
	13	Toulmin, S. 1958. The Uses of Argument. Cambridge University Press. Cambridge.
	14	Sholom M. Weiss , Casimir A. Kulikowski, Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1991
	15	John Zeleznikow , Andrew Stranieri, The split-up system: integrating neural networks and rule-based reasoning in the legal domain, Proceedings of the 5th international conference on Artificial intelligence and law, p.185-194, May 21-24, 1995, College Park, Maryland, United States [doi>10.1145/222092.222235]

CITED BY 7

	Andrew Stranieri , John Yearwood , John Zeleznikow, Tools for World Wide Web based legal decision support systems, Proceedings of the 8th international conference on Artificial intelligence and law, p.206-214, May 2001, St. Louis, Missouri, United States
	Andrew Stranieri , John Zeleznikow, Knowledge discovery for decision support in law, Proceedings of the twenty first international conference on Information systems, p.635-639, December 2000, Brisbane, Queensland, Australia
	Andrew Stranieri , John Zeleznikow, The evaluation of legal knowledge based systems, Proceedings of the 7th international conference on Artificial intelligence and law, p.18-24, June 14-17, 1999, Oslo, Norway
	Benjamin Johnston , Guido Governatori, Induction of defeasible logic theories in the legal domain, Proceedings of the 9th international conference on Artificial intelligence and law, June 24-28, 2003, Scotland, United Kingdom
	Sasha Ivkovic , John Yearwood , Andrew Stranieri, Visualizing association rules for feedback within the legal system, Proceedings of the 9th international conference on Artificial intelligence and law, June 24-28, 2003, Scotland, United Kingdom
	Benjamin Johnston , Guido Governatori, An algorithm for the induction of defeasible logic theories from databases, Proceedings of the fourteenth Australasian database conference, p.75-83, February 01, 2003, Adelaide, Australia
	Martin Možina , Jure Žabkar , Trevor Bench-Capon , Ivan Bratko, Argument based machine learning applied to law, Artificial Intelligence and Law, v.13 n.1, p.53-73, January 2005