Data Mining Project

Introduction to Data Mining project at HCMIU.

Dataset

Hepatitis C Prediction Dataset

Step

• Pre-processing Data
  • Remove useless data
  • Handle missing data
  • Dectect outliers and extreme data
  • Analyze correlation
  • Discretize continuous attributes
• Classify the dataset using
  • OneR
  • Naive Bayes
  • Decision tree (J48)
• Evaluate the performance using 10-fold cross validation

Reference

• https://github.com/dynhi/DataMiningHCMIU