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More Data Mining with Weka (2.3: Discretization in J48)
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More Data Mining with Weka
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- 1 More Data Mining with Weka: Trailer
- 2 More Data Mining with Weka (1.1: Introduction)
- 3 More Data Mining with Weka (1.2: Exploring the Experimenter)
- 4 More Data Mining with Weka (1.3: Comparing classifiers)
- 5 More Data Mining with Weka (1.4: The Knowledge Flow interface)
- 6 More Data Mining with Weka (1.5: The Command Line interface)
- 7 More Data Mining with Weka (1.6: Working with big data)
- 8 More Data Mining with Weka (2.1: Discretizing numeric attributes)
- 9 More Data Mining with Weka (2.2: Supervised discretization and the FilteredClassifier)
- 10 More Data Mining with Weka (2.3: Discretization in J48)
- 11 More Data Mining with Weka (2.4: Document classification)
- 12 More Data Mining with Weka (2.5: Evaluating 2‐class classification)
- 13 More Data Mining with Weka (2.6: Multinomial Naïve Bayes)
- 14 More Data Mining with Weka (3.1: Decision trees and rules)
- 15 More Data Mining with Weka (3.2: Generating decision rules)
- 16 More Data Mining with Weka (3.3: Association rules)
- 17 More Data Mining with Weka (3.4: Learning association rules)
- 18 More Data Mining with Weka (3.5: Representing clusters)
- 19 More Data Mining with Weka (3.6: Evaluating clusters)
- 20 More Data Mining with Weka (4.1: Attribute selection using the "wrapper" method)
- 21 More Data Mining with Weka (4.2: The Attribute Selected Classifier)
- 22 More Data Mining with Weka (4.3: Scheme-independent attribute selection)
- 23 More Data Mining with Weka (4.4: Fast attribute selection using ranking)
- 24 More Data Mining with Weka (4.5: Counting the cost)
- 25 More Data Mining with Weka (4.6: Cost-sensitive classification vs. cost-sensitive learning)
- 26 More Data Mining with Weka (5.1: Simple neural networks)
- 27 More Data Mining with Weka (5.2: Multilayer Perceptrons)
- 28 More Data Mining with Weka (5.3: Learning curves)
- 29 More Data Mining with Weka (5.4: Meta-learners for performance optimization)
- 30 More Data Mining with Weka (5.5: ARFF and XRFF)
- 31 More Data Mining with Weka (5.6: Summary)
