Cuby56

Data Mining Note :

1. )　Asssociation Rule

2. )　Sequential Patterns

3. )　Classification

4. )　Clustering

#1. Asssociation Rule :

　　eg. Apriori ( Scan DB once ),

　　　　FP-Growth ( FP-Tree ) ... etc.

#2. Sequential Patterns

#3. Classification :

　　eg. ID3 ( Create classifier by compute Entropy ),

　　　　KNN, SVM ... etc.

#4. Clustering :

　　eg. k-means ( Unstable Algorithm, Supervised,

　　　　　　　　　parameter k, easy to affected by noise ),

　　　　DBSCAN ( Density-Based, Unsupervised, high complexity,

　　　　　　　　　arbitrarily shaped clusters, has a notion of noise  ) ... etc.