SEDS 535

Knowledge Discovery

Knowledge discovery and data mining, data warehousing, data preparation and data mining primitives, concept description, mining association rules in large databases, classification and prediction, cluster analysis, web mining, applications in data mining.

Week Topics
1 Introduction
2 Measurement and Data, Visualizing and Exploring Data
3 A Systematic Overview of Data Mining Algorithms
4 Models and Patterns
5 Score Functions for Data Mining Algorithms
6 Dimensionality Reduction
7 Descriptive Modeling I
8 Search and Optimization Methods
9 Descriptive Modeling II
10 Predictive Modeling for Classification I
11 Predictive Modeling for Classification II
12 Association Analysis I
13 Association Analysis II
14 Link Analysis