Data Mining part 2

Overfitting and Tree Pruning

Two approaches to avoid overfitting

Naive Bayesian Classifer: Comments

Associative Classification

Associative Classification: Why effective?

Classifier Accuracy Measures

Evaluating the Accuracy of a Classifier or Predictor:
HOLDOUT METHOD

Evaluating the Accuracy of a Classifier or Predictor

Ensemble Methods: Increasing the Accuracy

An example of K-Means Clustering

Hierarchical Clustering

Density-Based Clustering: Basic Concepts

Density reachable

Density-connected

Density Based Spatial Clustering of Applications with noise

The Curse of Dimensionality