notes for data mining

Data Mining:

Concepts and
Techniques

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Chapter 8. Classification: Basic
Concepts

◼ Classification: Basic Concepts
◼ Decision Tree Induction
◼ Bayes Classification Methods
◼ Rule-Based Classification
◼ Model Evaluation and Selection
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,◼ Techniques to Improve Classification Accuracy:
Ensemble Methods
◼ Summary
◼




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, Supervised vs. Unsupervised Learning

◼ Supervised learning (classification)
◼ Supervision: The training data (observations, measurements,
etc.) are accompanied by labels indicating the class of the
observations
◼ New data is classified based on the training set
◼ Unsupervised learning (clustering)
◼ The class labels of training data is unknown

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