Modeling Techniques in Predictive Analytics: Business Problems and Solutions with R

Index

A

advertising, 15–29

Akaike information criterion (AIC), 5

ARIMA model, see time series analysis

association rule, 40–42

B

bag-of-words approach, see text analytics

bar chart, see data visualization

Bayes information criterion (BIC), 5

Bayesian statistics, 5, 178, 191, 233, 248

benchmark study, see simulation

best-worst scaling, 260

biclustering, 248

big data, 231–235

biplot, see data visualization

block clustering, see biclustering

bootstrap, 8

box plot, see data visualization

brand equity research, 173–209

bubble chart, see data visualization

C

call center scheduling, see workforce scheduling

choice study, 29

menu-based, 264

classical statistics, 5

classification, 2, 12, 113, 122, 240

accuracy, 240, 241

classification tree, see tree-structured ...