__________________________________________________________________________________________ Abstract: Data mining is method of maintaining a large amount of data stored in the database. Decision tree is a technique of data mining which classify the data and produces valuable results. These results are used in analysis and future prediction. The prime objective of this research work is to present...

The plants have been used by human beings since ages for satisfying his general needs for food, shelter and medicinal values. Many of the plant species are on the verge of extinction, therefore, in order to preserve them for future, naming convention has a role to play. Many of the plant species are yet unknown and due to climatic changes and human factors, the plant species are dying out. Ther...

The liver tumor is one of the most foremost critical causes death in world. Nowadays, Medical Imaging (MI) prominent Computer Vision fields (CV), which helps physicians and radiologists to detect diagnose tumors at an early stage. Radiologists use manual or semi-automated systems read hundreds images, such as Computed Tomography (CT) for diagnosis. Therefore, there a need fully-automated method...

This paper reports on the empirical evaluation of five machine learning algorithm such as J48, BayesNet, OneR, NB and ZeroR using ten performance criteria: accuracy, precision, recall, F-Measure, incorrectly classified instances, kappa statistic, mean absolute error, root mean squared error, relative absolute error, root relative squared error. The aim of this paper is to find out which classif...

Early prediction of liver disease is very important to save human life and take proper steps to control the disease. Decision Tree algorithms have been successfully applied in various fields especially in medical science. This research work explores the early prediction of liver disease using various decision tree techniques. The liver disease dataset which is select for this study is consistin...