Review Paper on Decision Tree Data Mining Algorithms to Improve Accuracy in Identifying Classified Instances using Large Dataset
Journal Title: International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR) - Year 2017, Vol 7, Issue 4
Abstract
The CART distance based algorithm with the classification tree paradigm based on the C45 algorithm. The CART algorithm is used as a preprocessing algorithm in order to obtain a modified training database for the posterior learning of the classification tree structure. Then the incorrectly classified instances are duplicated with the previous data set and finally C45 is applied to complete the classification procedure of biomedical data.
Authors and Affiliations
Gurpreet Singh, ER. Rajwinderkaur
Keywords
Related Articles
- EP ID EP240273
- DOI -
- Views 98
- Downloads 0
AN ADAPTIVE SCHEME OVER TEXT STREAMS FOR REAL-TIME MONITORING
A blog having a little gathering of individuals with their discourse. In a blog that is littler than a customary blog and contains short passages is called as microblog. Utilizing this Real-time dispersion of data is goi...
The Driver for the Scull_Open Discovery Function, Read / Write Scull_Read / Scull_Write For a Protected Linux OS
In this article the principle of implementing a special-purpose device driver for secure Linux operating systems, using the example of a simple character driver is discussed. The main goal is to summarize and form the ba...
EVOLUTION OF NEW EFFICIENT LOAD BALANCER ALGORITHM FOR LARGE DATA SETS
Cloud computing is a vital part of this new era IT world or we can say that it is a technology of new age which are used to connect data and application from anywhere around the planet through the internet. Anything and...
E2TBR: Energy Efficient Transmission Based Routing for IoT Networks
The Internet of Things (IoT) envisions the notion of ubiquitous connectivity of everything. This combines many technologies. Since millions of devices are going to be connected to the internet and wireless in nature, ene...
THE EFFECTIVENESS OF DATA MINING IN QUERY OPTIMIZATION
Data mining is a computerized process which is defined as the process of analyzing the big amount of data, and it is a secondary statistical process. Query flocks algorithm is proposed in this research as a data mining t...