Forest Tree Algorithm- An Efficient Approach of Data Mining Over Decision Tree

Main Article Content

Anuradha
Suraj Pal
Mohit Angurala

Abstract

Mining of Data (DM) is a way to display different models, summaries and values derived from a given data collected. The DM itself works in the process of searching for analytical information on the large number of available databases. An example of a predictive enigma is targeted marketing. There are many factors that affect data mining performance in large data sets. In this article we will use the forest tree technique to improve performance in search for data and implementation, surely overcome the previous work performance that includes the approach of the existing tree decision tree algorithm.

Article Details

How to Cite
, A., Pal , S., & Angurala , M. (2019). Forest Tree Algorithm- An Efficient Approach of Data Mining Over Decision Tree. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 5(1), 77 –. Retrieved from https://ijfrcsce.org/index.php/ijfrcsce/article/view/1840
Section
Articles

Most read articles by the same author(s)