I don’t need a title slide for a lecture
Outline
Knowledge Discovery in Databases (KDD)
Steps of a KDD process
Databases vs. Data warehousing
Databases vs. Data warehouses
Who’s interested?
Types of data mining
Association rules
Association rules example
Association rules metrics
Association rules algorithms
Itemsets of size 1
Finding candidate set 2
Finding candidate set 3
Apriori algorithm
Research directions
Classification
Classification example
Possible solutions
Decision trees
Clustering
Clustering example
Traditional clustering algorithms
Clustering difficulties
Sequential patterns
Sequential patterns example
AprioriAll
Mapping the itemsets
Sequence Similarity
Example
Basic algorithm
Data mining directions
References
References (cont.)
Email: rap@cs.washington.edu
Home Page: http://www.cs.washington.edu/homes/rap