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Implementation of Decision Tree Algorithm to Analysis the Performance
Pooja Sharma, Asst. Prof. Rupali Bhartiya
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Abstract: Data Mining is a very interesting area to mine the data for knowledge. Several techniques are available which makes data mining remarkable. Web mining is also a part of that kind of data mining techniques. Web mining includes data preprocessing, pattern discovery and pattern analysis phase to process the log data. Demand of analyzing and extracting knowledge from different domain databases increases. Classification is a technique to predict the best classifier. In model build methods classification algorithm plays an important role. In this paper we are implementing a proposed decision tree algorithm and existing C4.5 algorithm for comparative study and to analysis the performance.
Keywords: Data mining, Web usage mining, Decision tree algorithm, C4.5 and Cross validation.
Keywords: Data mining, Web usage mining, Decision tree algorithm, C4.5 and Cross validation.
How to Cite:
[1] Pooja Sharma, Asst. Prof. Rupali Bhartiya, βImplementation of Decision Tree Algorithm to Analysis the Performance,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
