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A Novel Approach to Construct Decision Tree Using Quick C4.5 Algorithm


Affiliations
1 Manav Rachna University, Faridabad, Haryana, India
 

With the rapid growth in size and number of available databases in commercial, industrial, administrative and other applications, it is necessary and interesting to examine how to extract knowledge from huge amount of data. There are several mining algorithms available to solve diverse data mining problems. One of the knowledge and discovery in databases operations is the problem of inducing decision trees. C4.5 is one of the most important algorithms in Decision Tree Induction. In this paper the limitations of the existing C4.5 algorithm are discussed and an enhancement technique for improving its efficiency is proposed.

Keywords

Data Mining, Decision Trees, C4.5 Algorithm.
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  • A Novel Approach to Construct Decision Tree Using Quick C4.5 Algorithm

Abstract Views: 244  |  PDF Views: 2

Authors

Deepti Juneja
Manav Rachna University, Faridabad, Haryana, India
Sachin Sharma
Manav Rachna University, Faridabad, Haryana, India
Anupriya Jain
Manav Rachna University, Faridabad, Haryana, India
Seema Sharma
Manav Rachna University, Faridabad, Haryana, India

Abstract


With the rapid growth in size and number of available databases in commercial, industrial, administrative and other applications, it is necessary and interesting to examine how to extract knowledge from huge amount of data. There are several mining algorithms available to solve diverse data mining problems. One of the knowledge and discovery in databases operations is the problem of inducing decision trees. C4.5 is one of the most important algorithms in Decision Tree Induction. In this paper the limitations of the existing C4.5 algorithm are discussed and an enhancement technique for improving its efficiency is proposed.

Keywords


Data Mining, Decision Trees, C4.5 Algorithm.