March 2010
Intermediate to advanced
372 pages
9h 9m
English
Index
acquisition models
“adults–classic social users” segment mobile telephony
affinity models (see association models)
“affluent mass” segment, retail banking
“affluent” segment, retail banking
agglomerative models
“aggregate/group by” database function
aggregated information
aggregation levels
anomaly detection
antecedent events
ARPU (average revenue per unit)
association models
comparison with classification models
“average shoppers” segment, retailing
banking (see credit cards, retail banking)
Bayesian networks
behavioral fields
behavioral segmentation
business understanding phase
consumer markets
credit cards
data preparation phase
data understanding phase
fixed telephony
mobile telephony
retailing
binning (IBM SPSS Modeler)
“borrowers–credit card users” segment retail banking
brand management
bubble plots
business markets
“business mass” segment, retail banking
business meanings
business objectives
retail banking
business understanding phase
“business users” segment, mobile telephony
C&RT (classification and regression trees) algorithm
C5.0 algorithm
call detail records (CDRs)
“cash advance users” segment, credit cards
categorical fields
categorization levels
CDRs (call detail records)
CHAID (chi-square automatic interaction detector) algorithm
IBM SPSS Modeler
channel management
chi-square test
churn models
classification and regression trees (C&RT) algorithm
classification models
behavioral segmentation
comparison with association models
decision trees
evaluation
marketing ...