A study of two sampling methods for analyzing large datasets with ILP

Data Mining and Knowledge Discovery

Volumn 3, Issue 1, 1999, Pages 95-123

  Srinivasan, Ashwin ^a,b  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

ILR scaling up; Sampling methods; Windowing

Indexed keywords

EID: 22644449927     PISSN: 13845810     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1009824123462     Document Type: Article

References (5)

1. Bain, M. 1991. Experiments in non-monotonic learning. In Proceedings of the Eighth International Workshop on Machine Learning, pages 380-384, San Mateo, CA. Morgan Kaufmann.
2. Barnett, V. 1992. Sample Survey Principles and Methods. Edward Arnold, London.
3. Bratko, I. and Grobelnik, M. 1993. Inductive learning applied to program construction and verification. In Third International Workshop on Inductive Logic Programming, pages 279-292, 1993. Available as Technical Report IJS-DP-6707, J. Stefan Inst., Ljubljana, Slovenia.
4. Breiman, L., Friedman, J.H., Olshen, R.A. and Stone, C.J. 1984. Classification and Regression Trees. Wadsworth, Belmont.
5. Cussens, J. 1997. Part-of-speech tagging using Progol. In Proceedings of the Seventh Inductive Logic Programming Workshop. Springer-Verlag, Berlin. To appear.