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Introduction to Data Mining
This is structured as a five week course:
Week 1: Exploring Weka’s interfaces, and working with big data
Week 2: Discretization and text classification
Week 3: Classification rules, association rules, and clustering
Week 4: Selecting attributes, and counting the cost
Week 5: Neural networks, learning curves, and performance optimization.
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Week 1
In Week 1 you will explore Weka’s other interfaces: the Experimenter, which allows you to run experiments that compare different methods; the Knowledge Flow interface, which lets you set up a graphical workflow for your data mining project; the Command Line interface, which accepts more complex commands to Weka. And you will learn about “big data” and how to deal with it in Weka. At the end of the week you’ll be equipped to use all Weka’s facilities, including stream-oriented processing for massive datasets.
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