| Autor: |
Özgür Çiftçi, Eyüp Akçetin, Yüksel Yurtay |
| Jazyk: |
English<br />Turkish |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
Online Academic Journal of Information Technology, Vol 9, Iss 33, Pp 91-100 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
1309-1581 |
| DOI: |
10.5824/1309-1581.2018.3.005.x |
| Popis: |
In this digital age, businesses that collect consumer information provide better service to its customers or new market areas in the name of consumer information from the open mining, artificial intelligence techniques, methods and algorithms in conjunction with data mining are used in order to be able to get the results of these operations.Data mining methods in an intensive competition environment in the service-producing process, are being used effectively. For customer relations in the context of these techniques in improving library processes and in improving the quality of service data mining method is utilized.The data aim-based of this study was to set a specific time range of the data that is received from a public University. Study of the library data in question required data mining methods of clustering and the apriori algorithm.As a result, the library data are implemented on data mining algorithms in the library with the given service processes and improvement of the quality of these services being the defining periodic changing of profile reader to reader demands and determined display and readers library interactions. Subsequent studies based on data from different universities library may lead too to different research, comparisons, and therefore different results. At the same time, the results of repeated studies for the readers of different library can be evaluated. İn similar studies, the amount of data and the range of time can be effective on the results too. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
