Methods and algorithms of information generalization in noisy databases

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

Volumn 6438 LNAI, Issue PART 2, 2010, Pages 44-55

  Vagin, Vadim ^a   Fomina, Marina ^a  

^a MOSCOW POWER ENGINEERING INSTITUTE   (Russian Federation)

Author keywords

data mining; decision tree; information generalization; knowledge acquisition; knowledge discovery; learning sample; noise model

Indexed keywords

DATA ARRAY; GENERALIZATION ALGORITHMS; INFORMATION GENERALIZATION; KNOWLEDGE DISCOVERY; LEARNING SAMPLES; NOISE EFFECTS; NOISE MODELS; PRODUCTION RULES; NOISE MODELING; PROGRAM MODELING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION TREES; KNOWLEDGE ACQUISITION; SOFT COMPUTING; TREES (MATHEMATICS);

DATA MINING;

EID: 78649996224     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16773-7_4     Document Type: Conference Paper

References (9)

1. Vagin, V.N., Ju, G.E., Zagoryanskaya, A.A., Fomina, M.V.: Exact and Plausible Inference in Intelligent Systems. In: Vagin, V.N., Pospelov, D.A. (eds.), 2nd edn., p. 716 (2008) (in Russian)
2. Quinlan, J.R.: Induction of Decision Trees. Machine Learning 1, 81-106 (1986)
3. Quinlan, J.R.: Improved Use of Continuous Attributes in C 4.5. Journal of Artifical Intelligence Research 4, 77-90 (1996)
4. Clark, P., Boswell, R.: Rule Induction with CN2, pp. 151-163 (1991)
5. Clark, P., Niblett, T.: The CN2 Induction Algorithm. Machine Learning 3, 261-283 (1989)
6. Mookerjee, V., Mannino, M., Gilson, R.: Improving the Performance Stability of Inductive Expert Systems under Input Noise. Information Systems Research 6(4), 328-356 (1995)
7. Berisha, A.M., Vagin, V.N., Kulikov, A.V., Fomina, M.V.: Methods of Knowledge Discovery in "Noisy" Databases. Journal of Computer and Systems Sciences International 44(6), 973-987 (2005)
8. Vagin, V.N., Fomina, M.V., Kulikov, A.V.: The Problem of Object Recognition in the Presence of Noise in Original Data. In: 10th Scandinavian Conference on Artificial Intelligence, SCAI 2008, pp. 60-67 (2008)
9. Merz, C.J., Murphy, P.M.: UCI Repository of Machine Learning Datasets. Information and Computer Science University of California, Irvine, CA 92697-3425 (1998), http://archive.ics.uci.edu/ml/