Data Mining and Predictive Analytics, 2nd Edition

Index

1. a priori algorithm
   1. association rules
      1. minimum confidence
      2. Modeler results
      3. one antecedent
      4. two antecedents
      5. two-step process
   2. frequent itemsets
2. ADABoost algorithm
   1. final boosted classifier
   2. initial base classifier
   3. original dataset
   4. second base classifier
   5. third base classifier
3. adjusted cost matrix
   1. bank loan
   2. equivalent cost
   3. false negative cost
   4. false positive cost
   5. retailer cost
4. analysis of variance (ANOVA)
   1. Minitab results
   2. MSTR
   3. multiple regression model
   4. R code
   5. sample mean age
   6. sum of squares
5. artificial neuron model
6. association rules
   1. a priori property (see a priori algorithm)
   2. affinity analysis
   3. antecedent and consequent
   4. business and research
   5. categorical data
   6. confidence and support
   7. frequent itemsets
   8. J-measure
   9. lift ratio
   10. market basket analysis
   11. patterns and models
   12. R code
   13. strong rules
   14. supervised/unsupervised learning
   15. worst case scenario
7. attribute-relation file format (ARFF) file
8. back-propagation algorithm
   1. cross validation termination
   2. downstream node
   3. error propagation
   4. learning rate
   5. momentum term
   6. squared prediction error
   7. upstream node
9. bagging model
   1. algorithm for
   2. bootstrap samples
   3. vs. CART model
   4. prediction method
   5. R code
   6. stable/unstable classification
10. balanced iterative reducing and clustering using hierarchies (BIRCH) clustering
    1. bank loans data set
       1. cost matrix
       2. data sorting
       3. No Interest model
       4. With Interest model
    2. CF/CF tree
       1. Additivity Theorem
       2. algorithm
       3. building process
       4. clustering sub-clusters
       5. definition
       6. one-dimensional toy data set
       7. radius
       8. tree structure
    3. Modeler's ...