A novel approach for Liver disorder Classification using Data Mining Techniques
Journal Title: Engineering and Scientific International Journal - Year 2015, Vol 2, Issue 1
Abstract
Data mining is an integrated platform for all other soft computing techniques and which is used to identify the expected or probable values from a large storage by using computational algorithms. This paper describes the categorization of liver disorder through feature selection and fuzzy K-means classification. In any of the medical diagnosis activity, some features may directly or indirectly influence and some others may not influence. So the process of influenced attribute subset selection is an essential factor for more accurate prediction. Suitability of the dataset and the selection of algorithm are the two key factors for any predictive analysis.
Authors and Affiliations
Aneeshkumar A. S.
Keywords
Related Articles
- EP ID EP631444
- DOI -
- Views 159
- Downloads 0
Status of Ground water Quality in Identified Areas of Karwi City, Utter Pradesh, India
Ground water is the primary source of water for human consumption, as well as for agricultural and industrial uses in many regions all over the world. District Chitrakoot lies between Lat. 24048′ to 25012′ N and Lang. 80...
Cow Dung for Increasing the Ph of Acidic Soil and Cow Importance from Vedic Scriptures
Now a day‟s pollution is increasing rapidly whether it is related to land or it is related to soil, water and air. This is due to increase in industrial activities in which some industries releases their waste without tr...
An Effective Implementation of HTML Injection
HTML injection is an attack that is closely related to Cross- site Scripting (XSS). The difference is not in the vulnerability, but in the type of attack that leverages the vulnerability. Hypertext Markup Langua...
Internet of Things a Vision of Future and the Technological Growth
This paper addresses the impact of Internet of Things (IoT) in the whole world. The effort of IOT is to provide a communication between the network, common devices or human to other devices through the internet. Ten year...
Fraud Detection Using Data Mining Techniques
The purpose of this study is to develop a data mining model for fraud detection in various fields such as online transactions (i.e) net banking, tax payers, credit cards etc. and securing data from the third parties(intr...