Consruction of meta classifiers for apple scab infections

International Journal of Pharma and Bio Sciences

Volumn 4, Issue 4, 2013, Pages

  Kumaravel, A ^a   Udhayakumarapandian, D ^a  

^a BHARATH UNIVERSITY   (India)

Author keywords

Apple scab; Base classifiers; Classification; Data mining; Meta classifiers; Search methods bagging boosting

Indexed keywords

ACCURACY; APPLE SCAB; ARTICLE; BAYESIAN LEARNING; CLASSIFICATION ALGORITHM; CLASSIFIER; DATA MINING; FRUIT; LEARNING ALGORITHM; MATHEMATICAL MODEL; NONHUMAN; PLANT LEAF; RANDOM FOREST; TEMPERATURE SENSITIVITY;

EID: 84888999304     PISSN: None     EISSN: 09756299     Source Type: Journal    
DOI: None     Document Type: Article

References (11)

1. th july 2013)
2. Companion slides for the text by Dr. H. Dunham, Data Mining, Introductory and Advanced Topics, Prentice Hall, 2002
3. Sourceboutweka http://www.cs.waikato.ac.nz/ml/weka/
4. A. Kumaravel, Pradeepa. R, Efficient molecule reduction for drug design by intelligent search methods Int J Pharm Bio Sci 2013 Apr; 4(2): (B) 1023-1029
5. A. Gelman, Y. S. Su, M. Yajima, J. Hill, M. Pittau, J. Kerman, and T. Zheng, "arm: Data Analysis Using Regression and Multilevel/Hierarchical Models," R package version 1.5-02.://CRAN. Rproject.org/package=arm,2012.
6. L. Breiman, "RandomForests,"in Machine Learning, vol. 45, pp. 5-32, 2001.
7. http://ipm.ncsu.edu/apple/chptr5.html (Accessed on 30th july 2013)
8. Dietterich, T. G., Jain, A., Lathrop, R., Lozano-Perez, T. (1994). A comparison of dynamic reposing and tangent distance for drug activity prediction. Advances in Neural Information Processing Systems, 6. San Mateo, CA: Morgan Kaufmann. 216-223.
9. A. Stensvand, T. Amundsen, L. Semb, D.M. Gadoury, and R.C. Seem. 1997. Ascospore release and infection of apple leaves by conidia and ascospores of Venturia inaequalis at low temperatures. Phytopathology 87:1046-1053.
10. Biggs, A. R. "Apple Scab" in Jones, A. L., and Aldwinckle, H. S. (editors). 1990. Compendium of apple and pear diseases. APS Press, St. Paul, MN.
11. http://weka.sourceforge.net/doc/weka/(Downloaded on 15th July 2013.