kdd
21 hours (usually 3 days including breaks)
Knowledge discovery in databases (KDD) is the process of discovering useful knowledge from a collection of data. Real-life applications for this data mining technique include marketing, fraud detection, telecommunication and manufacturing.
In this instructor-led, live course, we introduce the processes involved in KDD and carry out a series of exercises to practice the implementation of those processes.
Audience
Format of the Course
Introduction
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
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