A framework for increasing the value of predictive data-driven models by enriching problem domain characterization with novel features

Neural Computing and Applications

Volumn 28, Issue 6, 2017, Pages 1515-1523

  Moro, Sérgio ^a,b   Cortez, Paulo ^a   Rita, Paulo ^b  

^a UNIVERSITY OF MINHO   (Portugal)

^b INSTITUTO UNIVERSITÁRIO DE LISBOA ISCTE IUL   (Portugal)

Author keywords

Bank marketing; Data mining; Decision support; Feature selection; Telemarketing

Indexed keywords

CHARACTERIZATION; COMMERCE; DECISION SUPPORT SYSTEMS; FEATURE EXTRACTION; KNOWLEDGE MANAGEMENT; MARKETING;

DATA-DRIVEN MODEL; DECISION SUPPORTS; ECONOMIC VARIABLES; EMPIRICAL ANALYSIS; MARKETING MODELS; PREDICTIVE PERFORMANCE; RECEIVER OPERATING CHARACTERISTIC CURVES; TELEMARKETING;

DATA MINING;

EID: 84953410389     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-015-2157-8     Document Type: Article

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