A Support Vector Machine and Information Gain based Classification Framework for Diabetic Retinopathy Images
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2014, Vol 8, Issue 2
Abstract
Image mining is the process of applying data analysis and discovery algorithms over large volume of image data. It has especially become popular in the fields of forensic sciences, fraud analysis and health care, for it reduces costs in time and money. It allows for the identification of natural group of patients given inputs such as symptoms and further classifies or predicts derivatives from the given data. It couples traditional manual medical data analysis with data mining methods for efficient computer assisted analysis. In this work, the concept of classifying the medical data with and without feature selection technique is discussed. The features representing the useful information about the images were extracted and fed to the mining process. The experimental results demonstrate that the SVM classifier can effectively and efficiently classify the data when compared to other classification algorithms. The information gain based attribute selection method provides the results similar to SVM classifier.
Authors and Affiliations
M. Dharani , T. Menaka , G. Vinodhini
Keywords
Related Articles
- EP ID EP152371
- DOI -
- Views 116
- Downloads 0
A Survey of an Adaptive Weighted Spatio-Temporal Pyramid Matching For Video Retrieval
Recently, in the field of video analysis and retrieval Human action recognition in video is an important research and challenging topic. An efficient video retrieval is needed to search most similar and relevant video co...
Cyclic Sensing MAC Protocol for Multicast Routing in Mobile Ad-Hoc Networks
In Ad Hoc networks realizing high throughput is achievable when directional antennas are utilized. The directional antennas lead to higher spatial multiplexing gain. On The Other Hand, there are a few issues in practice...
MCA Learning Algorithm for Incident Signals Estimation:A Review
Recently there has been many works on adaptive subspace filtering in the signal processing literature. Most of them are concerned with tracking the signal subspace spanned by the eigenvectors corresponding to the eigenva...
Multiple Criteria Decision Making Methodology for Network security
Technology and it’s requirement comes in various ways, considering one of the aspect as the building tool to next level journey of security as Information Security, i.e. how it plays the role in making and controlling th...
Design an Algorithm for Data Encryption and Decryption Using Pentaoctagesimal SNS
Encryption is the most effective way of computer science concerned with developing schemes and formula to achieve data and information security through the use of codes. Today the privacy is the main issue to sending inf...