C4.5 (J48) is an algorithm used to generate a decision tree developed by Ross Quinlan mentioned earlier. C4.5 is an extension of Quinlan's earlier ID3 algorithm. The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often referred to as a statistical classifier. It became quite popular after ranking #1 in the Top 10 Algorithms in Data Mining pre-eminent paper published by Springer LNCS in 2008.

Decision Tree algorithm: short WEKA tutorial is attached. http://art.uniroma2.it/basili/MLWM09/002_DecTree_Weka.pdf

An example of the use and implementation of C4.5 (J48) classifier in WEKA is presented in the attached link. 

http://facweb.cs.depaul.edu/mobasher/classes/ect584/weka/classify.html

Hi, 

Please have a look at this article:

Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.

HTH.

Samer

Kaur and Chhabra (2014) http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.678.9273&rep=rep1&type=pdf

You may look at this link http://data-mining.business-intelligence.uoc.edu/home/j48-decision-tree more of a popular version than deep technical.

C4.5 (J48) is an algorithm used to generate a decision tree developed by Ross Quinlan mentioned earlier. C4.5 is an extension of Quinlan's earlier ID3 algorithm. The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often referred to as a statistical classifier. It became quite popular after ranking #1 in the Top 10 Algorithms in Data Mining pre-eminent paper published by Springer LNCS in 2008.

Decision Tree algorithm: short WEKA tutorial is attached. http://art.uniroma2.it/basili/MLWM09/002_DecTree_Weka.pdf

An example of the use and implementation of C4.5 (J48) classifier in WEKA is presented in the attached link. 

http://facweb.cs.depaul.edu/mobasher/classes/ect584/weka/classify.html

Hello Aman,

See the paper,

Hope to help.

Regards

http://www.academia.edu/download/31975379/V3I6-0408.pdf