Discovering rules in information trees

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

Volumn 1704, Issue , 1999, Pages 518-523

  Ras, Zbigniew W ^a,b  

^a University of North Carolina at Charlotte   (United States)

^b POLISH ACADEMY OF SCIENCES   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; EQUIVALENCE CLASSES; SEMANTICS;

DECISION ATTRIBUTE;

FORESTRY;

EID: 84956854428     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-48247-5_67     Document Type: Conference Paper

References (6)

1. Chen K, Ras Z.W., Homogeneous information trees, Fundamenta Informaticae, 8, 1985, 123-149.
2. Chen K, Ras Z.W., DDH approach to information systems, Proceedings of the 1982’CISS in Princeton, N.J., 521-526.
3. Chen K, Ras Z.W., Dynamic hierarchical data bases, Proceedings of the 1983’ICAA in Taipei, Taiwan, 450-456.
4. Cockett R., The algebraic co-theory of decision processes, Technical Report CS-84-58, University of Tennessee.
5. Quinlan, J.R., Induction of decision trees, Machine Learning, 1, 1986, 81-106. Reprinted in J.W. Shavlik & T.G. Dietterich (Eds.), Readings in machine learning, San Francisco, CA, Morgan Kaufmann, 1990
6. Quinlan, J.R., Generating production rules from decision trees, Proceedings of the Tenth International Joint Conference on Machine Learning, Morgan Kaufmann, 1987, 304-307