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Optimized feature extraction and actionable knowledge disco..:
, In:
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
,
Vadivu, P. Senthil
;
David, Vasantha Kalyani
- p. 275-282 , 2012
Link:
https://dl.acm.org/doi/10.1145/2393216.2393263
RT T1 <cTitle>Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology</cTitle>: T1 <Title>Optimized feature extraction and actionable knowledge discovery for Customer Relationship Management (CRM)</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2393263&Exemplar=1&LAN=DE A1 Vadivu, P. Senthil A1 David, Vasantha Kalyani PB ACM YR 2012 K1 Bounded Segmentation Problem (BSP) K1 Customer Relationship Management (CRM) K1 Maximum Margin Criterion (MMC) K1 Uncorrelated Discriminant Analysis (UDA) K1 attrition K1 decision trees K1 feature extraction Ant Colony Optimization (ACO) K1 Computing methodologies K1 Machine learning K1 Information systems K1 Information systems applications K1 Data mining SP 275 OP 282 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2393216.2393263 DO https://dl.acm.org/doi/10.1145/2393216.2393263 SF ELIB - SuUB Bremen
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