Course Outline

Introduction

  • KDD vs data mining

Establishing the application domain

Establishing relevant prior knowledge

Understanding the goal of the investigation

Creating a target data set

Data cleaning and preprocessing

Data reduction and projection

Choosing the data mining task

Choosing the data mining algorithms

Interpreting the mined patterns

Summary and conclusion

Requirements

  • A general understanding of databases.
 21 Hours

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