Chipper - A novel algorithm for concept description

Frontiers in Artificial Intelligence and Applications

Volumn 173, Issue , 2008, Pages 133-140

  Johansson, Ulf ^a   Sönströd, Cecilia ^a   Löfström, Tuve ^a,b   Boström, Henrik ^b  

^a UNIVERSITY OF BORÅS   (Sweden)

^b UNIVERSITY OF SKÖVDE   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

CONCEPT DESCRIPTION; DATA SET; DECISION LISTS; DECISION RULES INDUCTION; DECISION TREE INDUCTION; NOVEL ALGORITHM; RULE INDUCTION ALGORITHMS; RULE SET; TREE INDUCTION ALGORITHM;

DECISION TREES;

EID: 84867569402     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (14)

1. The CRISP-DM Consortium, CRISP-DM 1.0, www.crisp-dm.org, 2000.
2. C. Sönströd, U. Johansson and R. König, Towards a Unified View on Concept Description, The 2007 International Conference on Data Mining (DMIN07), Las Vegas, NV, 2007.
3. C. Sönströd and U. Johansson, Concept Description - A Fresh Look, Proceedings of the 2007 International Joint Conference on Neural Networks, IEEE Press, Orlando, FL, 2007.
4. th IASTED International Conference on Software Engineering and Applications, p. 47-42, Cambridge, MA, 2004.
5. th International Conference on Machine Learning and Applications, p. 129 - 134, Orlando, FL, 2006.
6. nd ed., Morgan Kaufman, 2006.
7. R. S. Michalski, On the quasi-minimal solution of the general covering problem, Proceedings of the Fifth International Symposium on Information Processing, p.125-128, Bled, Yugoslavia, 1969.
8. P. Clark and T.Niblett, The CN2 induction algorithm, Machine Learning, 3: 261-283, 1989.
9. th International Conference on Machine Learning (ICML'95), p. 115-123, Tahoe City, CA, 1995.
10. th International Conference on Machine Learning (ICML'94), p. 70-77, San Mateo, CA, 1994.
11. T. G. Dietterich, Machine Learning Research: Four Current Directions, AI Magazine '18, 97-136, 1997.
12. C. L. Blake and C. J. Merz, UCI Repository of Machine Learning Databases, University of California, Department of Information and Computer Science, 1998.
13. J. R. Quinlan, C4.5: Programs for Machine Learning, Morgan Kaufman, 1993.
14. I. H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques 2nd ed., Morgan Kaufman, 2005.