Naïve Bayes as an imputation tool for classification problems

Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems

Volumn 2005, Issue , 2005, Pages 497-499

  Garcia, Antonio J T ^a,b   Hruschka, Eduardo R ^a  

^a CATHOLIC UNIVERSITY OF SANTOS   (Brazil)

^b IBM Brazil   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA STRUCTURES; DECISION THEORY; PROBLEM SOLVING;

DECISION TREES; HYBRID SYSTEMS; MAJORITY METHOD;

COMPUTER AIDED SOFTWARE ENGINEERING;

EID: 33846949011     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICHIS.2005.78     Document Type: Conference Paper

References (5)

1. Di Zio, M., Scanu, M., Coppola, L., Luzi, O., Ponti, A., Bayesian networks for imputation, J.R. Statist. Soc. A, 167, Part 2, 309-322, 2004.
2. Little, R., Rubin, D. B., Statistical Analysis with Missing Data, John Wiley & Sons, New York, 1987.
3. Pyle, D., Data Preparation for Data Mining, Academic Press, 1999.
4. Schafer, J.L., Graham, J.W., Missing Data: Our View of the State of the Art, Psychological Methods, v.7 (2),147-177, 2002.
5. Witten, I. H., Frank, E., Data Mining - Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann Publishers, USA, 2000.