Improving Service Processes and The Library Quality Service with Data Mining Methods

Yüksel YURTAY; Özgür ÇİFTÇİ; Eyüp AKÇETİN

Makale detayları

Improving Service Processes and The Library Quality Service with Data Mining Methods

Yazarlar:

Yüksel YURTAY | Özgür ÇİFTÇİ | Eyüp AKÇETİN

Yayıncı:

Akademik Bilişim Araştırmaları Derneği

Ana Başlıklar:

Sosyal Bilimler

Dergi:

AJIT-e: Online Academic Journal of Information Technology 2018 Vol.9 Issue 33, pp.91-100

Belge Tipi:

Makale

Yayın Tarihi:

6/2018

Belge Dili:

Türkçe

Document ID (Org No.):

2000860337

Sıklık:

Üç Aylık

eISSN:

1309-1581

Anahtar kelimeler:

Özet:

 

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.

 


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.

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Makale detayları

Improving Service Processes and The Library Quality Service with Data Mining Methods

Yazarlar:

Yüksel YURTAY | Özgür ÇİFTÇİ | Eyüp AKÇETİN

Yayıncı:

Akademik Bilişim Araştırmaları Derneği

Ana Başlıklar:

Sosyal Bilimler

Dergi:

AJIT-e: Online Academic Journal of Information Technology 2018 Vol.9 Issue 33, pp.91-100

Belge Tipi:

Makale

Yayın Tarihi:

6/2018

Belge Dili:

Türkçe

Document ID (Org No.):

2000860337

Sıklık:

Üç Aylık

eISSN:

1309-1581

Data mining

data processing

process improvement

Library

Sayı

Makale detayları

Improving Service Processes and The Library Quality Service with Data Mining Methods

Yazarlar: Yüksel YURTAY | Özgür ÇİFTÇİ | Eyüp AKÇETİN

Yayıncı: Akademik Bilişim Araştırmaları Derneği

Ana Başlıklar: Sosyal Bilimler

Dergi: AJIT-e: Online Academic Journal of Information Technology 2018 Vol.9 Issue 33, pp.91-100

Belge Tipi: Makale

Yayın Tarihi: 6/2018

Belge Dili: Türkçe

Document ID (Org No.): 2000860337

Sıklık: Üç Aylık

eISSN: 1309-1581

Data mining

data processing

process improvement

Library

Sayı

Yazarlar:

Yüksel YURTAY | Özgür ÇİFTÇİ | Eyüp AKÇETİN

Yayıncı:

Akademik Bilişim Araştırmaları Derneği

Ana Başlıklar:

Sosyal Bilimler

Dergi:

AJIT-e: Online Academic Journal of Information Technology 2018 Vol.9 Issue 33, pp.91-100

Belge Tipi:

Makale

Yayın Tarihi:

6/2018

Belge Dili:

Türkçe

Document ID (Org No.):

2000860337

Sıklık:

Üç Aylık

eISSN:

1309-1581