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 ...

Get Data Mining Techniques in CRM now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.