Data mining algorithms allow to analyze large amount of information and the results of analysis help to make efficient decisions. The application of data mining algorithms in the system of client and employee relationship management (CRM) is under consideration. Decision trees and association rules algorithms are included into the processes of existing system; they are used to generate the proposals and to apply discounts for clients, also to add supplements to salary and to assign the tasks for workers that would best correspond to their competence. The application of data mining methods let to create intelligent–adaptive CRM system.
| Identifer | oai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2007~D_20070115_135006-53975 |
| Date | 15 January 2007 |
| Creators | Butkienė, Orinta |
| Contributors | Gudas, Saulius, Butkienė, Rita, Karčiauskas, Eimutis, Stulpinas, Raimundas, Bareiša, Eduardas, Butleris, Rimantas, Kiauleikis, Valentinas, Lopata, Andrius, Nemuraitė, Lina, Kaunas University of Technology |
| Publisher | Lithuanian Academic Libraries Network (LABT), Kaunas University of Technology |
| Source Sets | Lithuanian ETD submission system |
| Language | Lithuanian |
| Detected Language | English |
| Type | Master thesis |
| Format | application/pdf |
| Source | http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20070115_135006-53975 |
| Rights | Unrestricted |
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