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d) Data Mining
i. Use the chosen data mining methods for exploring, analyzing, and extracting
important information from the prepared data set.
ii. Perform the data mining process based on the chosen method by using R
software.
iii. You are required to fine tune the parameter setting of the data mining methods
in order to achieve high quality of model. Show the parameter tuning process
and select the best parameter setting as default setting.
iv. Describe the data mining methods, the resulting data mining models, and any
important information obtained from the mining process.
fyi, i have done with data preparation,now i need u to help me to data mining in classification (• Decision Tree
Support Vector Machine • Naïve Bayes) only
• Neural Network
• K-Nearest Neighbour
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