A Hybrid Apporach of Classification Techniques for Predicting Diabetes using Feature Selection ijtsrd
Diabetes is predicted by classification technique. The data mining tool WEKA has been developed for implementing Support Vector Machine SVM classifier. Proposed work is framed with a specific end goal to improve the execution of models. For improving the classification accuracy Support Vector Machine is combined with Feature Selection and percentage Split. Trial results demonstrated […]
Using ID3 Decision Tree Algorithm to the Student Grade Analysis and Prediction ijtsrd
Data mining techniques play an important role in data analysis. For the construction of a classification model which could predict performance of students, particularly for engineering branches, a decision tree algorithm associated with the data mining techniques have been used in the research. A number of factors may affect the performance of students. Data mining […]
Using Naive Bayesian Classifier for Predicting Performance of a Student ijtsrd
Data mining techniques play an important role in data analysis. For the construction of a classification model which could predict performance of students, particularly for engineering branches, a decision tree algorithm associated with the data mining techniques have been used in the research. A number of factors may affect the performance of students. Data mining […]
Knowledge Discovery in Classification and Distribution of Butterfly Species From Dagon University Campus, Myanmar by Rule Induction CN2 Algorithm ijtsrd
Rule induction is an area of machine learning in which formal rules are extracted from a set of observations. The CN2 induction algorithm is a learning algorithm for rule induction. In this research, “The Fauna of British India, Ceylon and Burma. Butterflies. Vol. I and Vol. II” written by C.T Bingham are used as the […]
Diagnosing Diabetes Using Support Vector Machine in Classification Techniques IJTSRD
Data mining is an iterative development inside which development is characterized by exposure, through either usual or manual strategies. In this paper, we proposed a model to ensure the issues in existing framework in applying data mining procedures specifically Classification and Clustering which are connected to analyze the type of diabetes and its significance level […]