Please use this identifier to cite or link to this item:
https://rfos.fon.bg.ac.rs/handle/123456789/1312| Title: | Data mining models for prediction of customers’ satisfaction: The CART analysis | Authors: | Dobrota, Marina Bulajić, Milica Radojičić, Zoran |
Issue Date: | 2014 | Publisher: | Palgrave Macmillan | Abstract: | Data mining is a powerful technology with great potential to help companies focus on the most important information in their data warehouses (Fayyad et al., 1996; Xu and Zhang, 2005). Data mining tools can predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions (Sharma et al., 2008). They scan databases for hidden patterns, finding predictive information that experts may miss because it lies outside their expectations. Technologies that have been developed in the area of data mining and knowledge discovery in databases became necessary because the traditional analysis of data has been insufficient for a very long time (Frawley et al., 1991). | URI: | https://rfos.fon.bg.ac.rs/handle/123456789/1312 |
| Appears in Collections: | Radovi istraživača / Researchers’ publications |
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.