Classification of Radar Returns from Ionosphere Using NB-Tree and CFS IJTSRD
This paper present an experimental study of the different classifiers namely Naïve Bayes (NB) and NB-Tree for classification of radar returns from Ionosphere dataset. Correlation-based Feature Subset Selection (CFS) is also used for attribute selection. The purpose is to achieve the efficient result for classification. The comparison of NB classifier and NB-Tree is done based […]
Decision Tree Models for Medical Diagnosis IJTSRD
Data mining techniques are rapidly developed for many applications. In recent year, Data mining in healthcare is an emerging field research and development of intelligent medical diagnosis system. Classification is the major research topic in data mining. Decision trees are popular methods for classification. In this paper many decision tree classifiers are used for diagnosis […]
An Exploration of Data Mining with Analysis for a Health Care System IJTSRD
There is an undeniable discernment that data mining has a great potential in the improvement of healthcare systems due to its ability to discover patterns and to obtain and isolate important data and information from a large collection of data sets. An in depth exploration of data mining is essential to understand why this industry […]
Various Data Mining Techniques for Diabetes Prognosis: A Review IJTSRD
Most of the food we eat is converted to glucose, or sugar which is used for energy. When you have diabetes, your body either doesn’t make enough insulin or cannot use its own insulin as well as it should. This causes sugar to build up in your blood leading to complications like heart disease, stroke, […]
Classification on Missing Data for Multiple Imputations IJTSRD
This research paper explores a variety of strategies for performing classification with missing feature values. The classification setting is particularly affected by the presence of missing feature values since most discriminative learning approaches including logistic regression, support vector machines, and neural networks have no natural ability to deal with missing input features. Our main interest […]