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More Data Mining with Weka

Ian Witten, Peter Reutemann, Jemma König, and Eibe Frank

Topics Covered

Running large-scale data mining experiments
Constructing and executing knowledge flows
Processing very large datasets
Analyzing collections of textual documents
Mining association rules
Preprocessing data using a range of filters
Automatic methods of attribute selection
Clustering data
Taking account of different decision costs
Producing learning curves
Optimizing learning parameters in data mining

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Time

20 hours

Via

FutureLearn

Institution

The University of Waikato

Instructors

Ian Witten

Peter Reutemann

Jemma König

Eibe Frank

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