Analysis of breast feeding data using data mining methods

Conferences in Research and Practice in Information Technology Series

Volumn 61, Issue , 2006, Pages 47-52

  He, Hongxing ^a   Jin, Huidong ^a   Chen, Jie ^a   McAullay, Damien ^a   Li, Jiuyong ^b   Fallon, Tony ^b  

^a CSIRO   (Australia)

^b UNIVERSITY OF SOUTHERN QUEENSLAND   (Australia)

Author keywords

Association rule; Classification; Data mining; Features selection; Survey data

Indexed keywords

CLASSIFICATION TASKS; DATA MINING METHODS; DATA MINING TECHNIQUES; FEATURES SELECTION; PATTERN MINING METHODS; QUANTITATIVE INFORMATION; REDUNDANT FEATURES; STATISTICAL APPROACH; STATISTICAL SURVEY; SURVEY DATA; VARIABLE SELECTION;

ASSOCIATION RULES; CLASSIFICATION (OF INFORMATION); DECISION TREES; FEATURE EXTRACTION; FEEDING; INFORMATION THEORY; POPULATION STATISTICS; STATISTICAL METHODS; SURVEYS;

DATA MINING;

EID: 84870568088     PISSN: 14451336     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (23)

1. Chen, J., He, H., Li, J., Jin, H., McAullay, D., Williams, G., Sparks, R. & Kelman, C. (2005), Representing association classification rules mined from health data, in Proceedings of 9th International Conference on Knowledge-Based & Intelligent Information & Engineering Systems (KES2005), Melbourne, Australia, pp. 1225-1231.
2. Cover, T. M. & Thomas., J. A. (1991), Elements of Information Theory, Wiley-Interscience.
3. Fleiss, J. L. (1981), Statistical Methods for Rates and Proportions, Wiley.
4. Fleuret, F. (2004), 'Fast binary feature selection with conditional mutual information', Journal of Machine Learning Research 5, 1531-1555.
5. Gu, L., Li, J., He, H., Williams, G., Hawkins, S. & Kelman, C. (2003), Association rule discovery with unbalanced class, in Proceedings of the 16th Australian Joint Conference on Artificial Intelligence (AI03), Lecture Notes in Artificial Intelligence, Perth, Western Australia, pp. 221-232.
6. He, H., Jin, H. & Chen, J. (2005), Automatic feature selection for classification of health data, in Proceedings of The 18th Australian Joint Conference on Artificial Intelligence (AI2005), Sydney, Australia, pp. 910-913.
7. Hegney, D., Fallon, T., O'Brien, M., Plank, A., Doolan, J., Brodribb, W., Hennessy, J., Laurent, K. & Baker, S. (2003), The Toowoomba Infant Feeding Support Service Project: Report on Phase 1 A Longitudinal Needs Analysis of Breastfeeding Behaviours and Supports in the Toowoomba Region.
8. Jin, H., Chen, J., Kelman, C., He, H., McAullay, D. & O'Keefe, C. M. (2006), Mining unexpected associations for signalling potential adverse drug reactions from administrative health databases, in PAKDD'06, pp. 867-876.
9. Jin, H.-D., Shum, W., Leung, K.-S. & Wong, M.-L. (2004), 'Expanding self-organizing map for data visualization and cluster analysis', Information Sciences 163, 157-173.
10. Jin, H., Wong, M.-L. & Leung, K.-S. (2005), 'Scalable model-based clustering for large databases based on data summarization', IEEE Transactions on Pattern Analysis and Machine Intelligence 27(11), 1710-1719.
11. Kohavi, R. & John, G. (1997), 'Wrappers for feature selection', Artificial Intelligence pp. 273-324.
12. Kramer, M. S. & Kakuma, R. (2003), Optimal duration of exclusive breastfeeding, The Cochrane Library.
13. Li, J., Fu, A. W.-C., He, H., Chen, J., Jin, H., McAullay, D., Williams, G., Sparks, R. & Kelman, C. (2005), Mining risk patterns in medical data, in Proceedings of KDD'05, pp. 770-775.
14. McAullay, D., Williams, G., Chen, J., Jin, H., He, H., Sparks, R. & Kelman, C. (2005), A delivery framework for health data mining and analytics, in V. Estivill-Castro, ed., Twenty-Eighth Australasian Computer Science Conference (ACSC2005), Vol. 38 of CRPIT, ACS, Newcastle, Australia, pp. 381-390.
15. Quinlan, J. (1993), C4.5: Programs for Machine Learning, Morgan Kaufmann.
16. Riodan, J. M. (1997), 'Commentary. the cost of not breastfeeding: a commentary.', Journal of Human Lactation 13(2), 93-97.
17. Shannon., C. E. (1948), 'A mathematical theory of communication', Bell System Technical Journal 27, 379-423,623-656.
18. Smith, J. (2001), Mothers milk, money and markets, Ann Congress Perinatal Society Australia and New Zealand.
19. Smith, J. P., Thompson, J. F. & Ellwood, D. A. (2002), 'Hospital system costs of artificial infant feeding: Estimates for the australian capital territory', Australian and New Zealand Journal of Public Health 26(6), 543-551.
20. Wang, G., Lochovsky, F. H. & Yang, Q. (2004), Feature selection with conditional mutual information maxmin in text categorization, in Proceedings of CIKM'04, Washington, US, pp. 8-13.
21. WHO (2001), The optimal duration of exclusive breastfeeding, World Health Organization
22. Yang, Y. & Pedersen, J. O. (1997), A comparative study on feature selection in text categorization, in Proceedings of International Conference on Machine Learning, Nashville, TN, USA.
23. Yu, L. & Liu, H. (2004), Redundancy based feature selection for microarray data, in Proceedings of KDD'04, ACM Press, New York, NY, USA, pp. 737-742.