Classifier construction by Graph-Based Induction for graph-structured data

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

Volumn 2637, Issue , 2003, Pages 52-62

  Geamsakul, Warodom ^a   Matsuda, Takashi ^a   Yoshida, Tetsuya ^a   Motoda, Hiroshi ^a   Washio, Takashi ^a  

^a OSAKA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DECISION TREES; GRAPHIC METHODS; LEARNING SYSTEMS; PATTERN MATCHING; TREES (MATHEMATICS); DECISION THEORY;

ATTRIBUTE-VALUE PAIRS; CLASSIFICATION TASKS; GRAPH STRUCTURED DATA; GRAPH-BASED INDUCTION; MACHINE LEARNING TECHNIQUES; PREDICTIVE ACCURACY; STEPWISE PAIR EXPANSION; TREE GRAPH-BASED INDUCTION;

DATA MINING; GRAPHIC METHODS;

DECISION TREE; GRAPH STRUCTURED DATA; SUBSTRUCTURES;

EID: 7444223549     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-36175-8_6     Document Type: Conference Paper

References (9)

1. C. L. Blake, E. Keogh, and C.J. Merz. Uci repository of machine leaning database, 1998. http://www.ics.uci.edu/~mlearn/MLRepository.html.
2. L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone. Classification and Regression Trees. Wadsworth & Brooks/Cole Advanced Books & Software, 1984.
3. T. Matsuda, T. Horiuchi, H. Motoda, and T. Washio. Extension of graph-based induction for general graph structured data. In Knowledge Discovery and Data Mining: Current Issues and New Applications, Springer Verlag, LNAI 1805, pages 420-431, 2000.
4. T. Matsuda, H. Motoda, T. Yoshida, and T. Washio. Knowledge discovery from structured data by beam-wise graph-based induction. In Proc. of the 7th Pacific Rim International Conference on Artificial Intelligence, Springer Verlag, LNAI 2417, pages 255-264, 2002.
5. T. Matsuda, T. Yoshida, H. Motoda, and T. Washio. Mining patterns from structured data by beam-wise graph-based induction. In Proc. of The Fifth International Conference on Discovery Science, pages 422-429, 2002.
6. J. R. Quinlan. Induction of decision trees. Machine Learning, 1: 81-106, 1986.
7. J. R. Quinlan. C4.5: Programs For Machine Learning. Morgan Kaufmann Publishers, 1993.
8. G. G. Towell and J. W. Shavlik. Extracting refined rules from knowledge-based neural networks. Machine Learning, 13: 71-101, 1993.
9. K. Yoshida and H. Motoda. Clip: Concept learning from inference pattern. Journal of Artificial Intelligence, 75(1): 63-92, 1995.