Real-World Data Mining: Applied Business Analytics and Decision Making

Index

Numerics

1-of-N pseudo variables, 97

A

accuracy

of classification models, 107-112

of time-series forecasting methods, assessing, 176-177

Acxiom, 58

advanced analytics, 17

affinity analysis. See association rule mining

affordability of analytics, 5-6

aggregating data, 74

AIC (Akaike information criterion), 118

algorithms, 104, 141

Apriori algorithm, 127-128

for association rule mining, 127

back-propagation, 155-157

for decision tree creation, 116

genetic algorithms, 114

k-means clustering algorithm, 122-123

k-nearest neighbor algorithm, 113, 142-143

cross-validation, 145-147

Minkowski distance, finding, 144-145

parameter selection, 145

similarity measure, 144-147

learning algorithms, 156-157

logistic regression, 173-175

variables, 97

analytics ...