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Development of Mushroom Expert System Based on SVM Classifier and Naive Bayes Classifier?

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 4)

Publication Date:

Authors : ; ; ; ;

Page : 1328-1335

Keywords : Expert System; Machine learning; Support vector machines; Naïve Bayes algorithm; JSP; MySQL;

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Machine learning is the ability of a machine to improve its own performance through the use of a software that employs artificial intelligence techniques. In practice, this involves creating programs that optimize a performance criterion through the analysis of data. Support vector machine (SVM) is the machine learning algorithm used for creating the classification model from training data. In this paper, Support Vector Machine and Naïve Bayes algorithms are used for classification of mushrooms. Mushroom Expert System is developed for classification of mushrooms and to predict the class of mushrooms on submission of characteristics of the mushrooms. Programmed interviews are conducted with domain experts to build the knowledge base for the mushroom expert system. Performances of both algorithms are evaluated on mushroom data in fold cross-validation. This system is a web based application for online users and developed with JSP as front end and MySQL as backend.

Last modified: 2014-04-30 23:01:47