Evaluation of Knowledge Extraction Using Various Classification Data Mining Techniques

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
The advantageous tool of data mining used to extract the nuggets of knowledge from a database / data warehouse has gained a lot of attention from the research and commercial field. This paper presents evaluation of various classification data mining algorithms using WEKA (Waikato Environment for Knowledge Analysis) and concentrates on the values of certain important evaluation measures. The authors have performed evaluation experiment on the basic data mining algorithms using WEKA. In addition to this, comparative study has been recorded in section V as detailed in conclusion.

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