Yıl 2018, Cilt , Sayı 13, Sayfalar 17 - 30 2018-08-31

A Survey on Data Stream Clustering Techniques
Akan Veri Kümeleme Teknikleri Üzerine Bir Derleme

Ali ŞENOL [1] , Hacer KARACAN [2]

71 90

In parallel with the development of today's technology, the amount of data that has been transferred to the computer environment has reached incredible dimensions and is increasing day by day. For this reason, the methods of data processing are also changing. In classical data clustering approaches, data is static. However, in today's technology in which data streams very fast, there is a need for applications that can cluster data and show results while the data is streaming whenever the user wants. In this sense, the demand for data stream clustering approaches is increasing day by day. Because, the data stream clustering approaches read once, fast, and have the ability to adapt themselves to new data. In other words, the results are shown to the user on the one hand, while the data is streaming on the other hand. In this study, the proposed studies on the data stream clustering area are collected and the researchers who are interested in this field are enlighten. 

Günümüz teknolojisinin gelişmesine paralel olarak bilgisayar ortamına aktarılmış olan veri miktarı inanılmaz boyutlara ulaşmış ve gün geçtikçe de artmaktadır.  Bu nedenle veriyi işleme yöntemleri de değişmektedir. Klasik kümeleme yaklaşımlarında veri statiktir. Oysa günümüz teknolojisinde, verinin çok hızlı olduğu dünyada artık veriyi akarken kümeleyecek, kullanıcıya istediği zaman sonuç verebilecek uygulamalara ihtiyaç vardır. Bu anlamda ihtiyacı karşılayan akan veri kümeleme yaklaşımlarına olan talep gün geçtikçe artmaktadır. Çünkü akan veri kümeleme yaklaşımları bir defa okumalı, hızlı ve kendisini yeni gelen veriye uyarlama özelliğine sahiptir. Yani veri bir yandan akarken bir yandan kullanıcıya sonuç üretilebilmektedir. Bu çalışmada akan veri kümeleme alanında yapılan çalışmalar derlenmekte ve bu alana ilgi duyan araştırmacılara ışık tutulmaktır.

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Birincil Dil tr
Konular Mühendislik
Dergi Bölümü Makaleler
Yazarlar

Orcid: 0000-0003-0364-2837
Yazar: Ali ŞENOL (Sorumlu Yazar)
Kurum: ARDAHAN ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ, BİLGİSAYAR MÜHENDİSLİĞİ BÖLÜMÜ
Ülke: Turkey


Orcid: 0000-0001-6788-008X
Yazar: Hacer KARACAN
Kurum: GAZİ ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ, BİLGİSAYAR MÜHENDİSLİĞİ BÖLÜMÜ
Ülke: Turkey


Bibtex @derleme { ejosat446019, journal = {Avrupa Bilim ve Teknoloji Dergisi}, issn = {}, eissn = {2148-2683}, address = {Osman Sağdıç}, year = {2018}, volume = {}, pages = {17 - 30}, doi = {10.31590/ejosat.446019}, title = {Akan Veri Kümeleme Teknikleri Üzerine Bir Derleme}, key = {cite}, author = {KARACAN, Hacer and ŞENOL, Ali} }
APA ŞENOL, A , KARACAN, H . (2018). Akan Veri Kümeleme Teknikleri Üzerine Bir Derleme. Avrupa Bilim ve Teknoloji Dergisi, (13), 17-30. DOI: 10.31590/ejosat.446019
MLA ŞENOL, A , KARACAN, H . "Akan Veri Kümeleme Teknikleri Üzerine Bir Derleme". Avrupa Bilim ve Teknoloji Dergisi (2018): 17-30 <http://dergipark.gov.tr/ejosat/issue/38980/446019>
Chicago ŞENOL, A , KARACAN, H . "Akan Veri Kümeleme Teknikleri Üzerine Bir Derleme". Avrupa Bilim ve Teknoloji Dergisi (2018): 17-30
RIS TY - JOUR T1 - Akan Veri Kümeleme Teknikleri Üzerine Bir Derleme AU - Ali ŞENOL , Hacer KARACAN Y1 - 2018 PY - 2018 N1 - doi: 10.31590/ejosat.446019 DO - 10.31590/ejosat.446019 T2 - Avrupa Bilim ve Teknoloji Dergisi JF - Journal JO - JOR SP - 17 EP - 30 VL - IS - 13 SN - -2148-2683 M3 - doi: 10.31590/ejosat.446019 UR - http://dx.doi.org/10.31590/ejosat.446019 Y2 - 2018 ER -
EndNote %0 Avrupa Bilim ve Teknoloji Dergisi Akan Veri Kümeleme Teknikleri Üzerine Bir Derleme %A Ali ŞENOL , Hacer KARACAN %T Akan Veri Kümeleme Teknikleri Üzerine Bir Derleme %D 2018 %J Avrupa Bilim ve Teknoloji Dergisi %P -2148-2683 %V %N 13 %R doi: 10.31590/ejosat.446019 %U 10.31590/ejosat.446019
ISNAD ŞENOL, Ali , KARACAN, Hacer . "Akan Veri Kümeleme Teknikleri Üzerine Bir Derleme". Avrupa Bilim ve Teknoloji Dergisi / 13 (Ağustos 2018): 17-30. http://dx.doi.org/10.31590/ejosat.446019