THE IMPORTANCE OF DATA MINING AND ITS USAGE IN LIBRARIES

Yıl 2023, , 503 - 541, 20.06.2023

Korcan Doğan , Sacit Arslantekin

https://doi.org/10.33171/dtcfjournal.2023.63.1.21

Öz

Data mining is one of the most important methods to find patterns and draw meaningful conclusions from big data collected from different sources. It is important for libraries to collect data from different sources and to draw meaningful results from this data by data mining.
In this context, the main hypothesis in the study is: "It is possible for libraries to obtain new patterns in library operations and services by using data mining techniques and to use them to develop new service models by reflecting them in decision support processes."
A literature review is conducted to establish the theoretical basis of the research. At this stage, nationwide and international studies including the concepts related to data mining, data mining, data mining models, data mining processes, etc. are examined. The areas of utilization and applications of data mining are included in libraries.
As a result of the research, the findings and evaluations obtained through the data mining process are presented, and the main hypothesis and sub-hypotheses are confirmed.

Anahtar Kelimeler

Data mining, Big data, Library services, Data mining models, Data mining processes

VERİ MADENCİLİĞİNİN ÖNEMİ VE KÜTÜPHANELERDE KULLANIMI

Öz

Veri madenciliği farklı kaynaklardan toplanan büyük ölçekli verilerden örüntüler bulmak ve anlamlı sonuçlar çıkarabilmek için en önemli yöntemlerden biridir. Kütüphanelerin de farklı kaynaklardan veri toplayabilmesi ve bu verilerden veri madenciliği ile anlamlı sonuçlar çıkarabilmesi için önemlidir.
Bu noktadan hareketle çalışmada “Kütüphanelerin veri madenciliği tekniklerini kullanarak, işlem ve hizmetlerinde yeni örüntüler elde etmesi ve bunları karar destek süreçlerine yansıtarak yeni hizmet modelleri geliştirmek için kullanabilmeleri mümkündür.” ana hipotezi oluşturulmuştur.
Araştırmada kuramsal temelin oluşturulması amacı ile literatür taraması yapılmıştır. Bu aşamada veri madenciliği, veri madenciliği ile ilgili kavramlar, veri madenciliği modelleri, veri madenciliği süreçleri vb. kavramlar yapılan ulusal ve uluslararası çalışmalar doğrultusunda incelenmiş, kütüphanelerde veri madenciliğinin kullanım alanlarına ve uygulamalarına yer verilmiştir.
Araştırma sonucunda veri madenciliği süreciyle elde edilen bulgulara ve değerlendirmelere yer verilmiş, ana hipotez ve alt hipotezler doğrulanmıştır.

Anahtar Kelimeler

Veri madenciliği, Büyük veri, Kütüphane hizmetleri, Veri madenciliği modelleri, Veri madenciliği süreçleri

Kaynakça

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