A Multi relational Framework for Knowledge Classification using Fuzzy Decision Tree in Biological System

Nowadays, development of existing technologies, there is a rapid growth in genomics and proteomics that have produced a large biological data. The sophisticated computational analyses needed to draw the conclusions from these data. Analyzing these biological data requires making sense of the data by inferring structure or generalizations from the data. Data mining plays an essential role in a variety of applications such as business organizations, health care and biological data analysis. The biological data analysis includes protein structure prediction, gene classification, cancer classification with the help of microarray data, clustering of gene expression data, statistical modeling of protein-protein interaction, etc. This paper presents a multi relational framework for the classification of protein/gene localization using fuzzy decision tree. The dataset has taken from KDD Cup 2001 task 2. The experimental results demonstrate the efficiency of the proposed method when compared with the existing system.