Konferans Bildirisi

Knowledge Mining Approach For Healthy Monitoring From Pregnancy Data With Big Volumes

Cilt: 4 Sayı: Special Issue-1 26 Aralık 2016
PDF İndir
EN

Knowledge Mining Approach For Healthy Monitoring From Pregnancy Data With Big Volumes

Öz

The process for obtaining information that will create value on a large-scale data stack is called data mining by its general name. Data mining is commonly used in sales and marketing departments, in determining strategies and making critical decisions for the future in many sectors. Similarly, data mining is used in the determination of health policies, more effective implementation of health services and in the management of resources and institutions in the health sector. In this study, it was aimed to create a software architecture of data mining that will help the personal monitoring of the pregnancy process in a more effective way in the health sector. Many different types of data such as age, gender, location, education, physical characteristics, lifestyle habits and medical history of the people that could be used for this purpose are stored online by health institutions. The machine learning algorithms have been created to determine classification, clustering and association rule on these data. 

Anahtar Kelimeler

Kaynakça

  1. Savaş S., Topaloğlu N and M. Yılmaz M. Veri madenciliği ve Türkiye’deki uygulama örnekleri, 2012.
  2. Wu X., Zhu X., Wu G. Q., Ding W. Data mining with big data, IEEE transactions on knowledge and data .eng., 26(1), 97-107, 2014.
  3. Ünal O.O. Internet Kullanım Analizi Ve Kullanıcı Betimleme Konularında Veri Madenciliği Uygulamaları, Doctoral dissertation, Fen Bilimleri Enstitüsü, 2015.
  4. Tosun T. Veri Madenciliği Teknikleriyle Kredi Kartlarında Müşteri Kaybetme Analizi, Doctoral dissertation, Fen Bilimleri Enstitüsü, 2015.
  5. Ocal N., Ercan M. K and E. Kadioglu. Predicting Financial Failure Using Decision Tree Algorithms: An Empirical Test on the Manufacturing Industry at Borsa Istanbul. International Journal of Economics and Finance,7(7), 189, 2015.
  6. Gürsoy U.T.Ş. Customer Churn Analysis in Telecommunication Sector”, İstanbul University Journal of the School of Business Administration, V.39-1, 35-49, 2010.
  7. GÜLEN Ö and Özdemir S. Veri Madenciliği Teknikleri İle Üstün Yetenekli Öğrencilerin İlgi Alanlarının Analizi, Üstün Yetenekliler Eğitimi ve Araştırmaları Dergisi (UYAD), 1(3), 2013.
  8. Kaya M. and Özel S.A. Açık Kaynak Kodlu Veri Madenciliği Yazılımlarının Karşılaştırılması, Akademik Bilişim, 2014.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Konferans Bildirisi

Yazarlar

Yunus Santur
FIRAT UNIV
Türkiye

Sinem Güven Santur Bu kişi benim
Papatyasoft
Türkiye

Yayımlanma Tarihi

26 Aralık 2016

Gönderilme Tarihi

29 Kasım 2016

Kabul Tarihi

1 Aralık 2016

Yayımlandığı Sayı

Yıl 2016 Cilt: 4 Sayı: Special Issue-1

Kaynak Göster

APA
Santur, Y., & Güven Santur, S. (2016). Knowledge Mining Approach For Healthy Monitoring From Pregnancy Data With Big Volumes. International Journal of Intelligent Systems and Applications in Engineering, 4(Special Issue-1), 141-145. https://doi.org/10.18201/ijisae.270369
AMA
1.Santur Y, Güven Santur S. Knowledge Mining Approach For Healthy Monitoring From Pregnancy Data With Big Volumes. International Journal of Intelligent Systems and Applications in Engineering. 2016;4(Special Issue-1):141-145. doi:10.18201/ijisae.270369
Chicago
Santur, Yunus, ve Sinem Güven Santur. 2016. “Knowledge Mining Approach For Healthy Monitoring From Pregnancy Data With Big Volumes”. International Journal of Intelligent Systems and Applications in Engineering 4 (Special Issue-1): 141-45. https://doi.org/10.18201/ijisae.270369.
EndNote
Santur Y, Güven Santur S (01 Aralık 2016) Knowledge Mining Approach For Healthy Monitoring From Pregnancy Data With Big Volumes. International Journal of Intelligent Systems and Applications in Engineering 4 Special Issue-1 141–145.
IEEE
[1]Y. Santur ve S. Güven Santur, “Knowledge Mining Approach For Healthy Monitoring From Pregnancy Data With Big Volumes”, International Journal of Intelligent Systems and Applications in Engineering, c. 4, sy Special Issue-1, ss. 141–145, Ara. 2016, doi: 10.18201/ijisae.270369.
ISNAD
Santur, Yunus - Güven Santur, Sinem. “Knowledge Mining Approach For Healthy Monitoring From Pregnancy Data With Big Volumes”. International Journal of Intelligent Systems and Applications in Engineering 4/Special Issue-1 (01 Aralık 2016): 141-145. https://doi.org/10.18201/ijisae.270369.
JAMA
1.Santur Y, Güven Santur S. Knowledge Mining Approach For Healthy Monitoring From Pregnancy Data With Big Volumes. International Journal of Intelligent Systems and Applications in Engineering. 2016;4:141–145.
MLA
Santur, Yunus, ve Sinem Güven Santur. “Knowledge Mining Approach For Healthy Monitoring From Pregnancy Data With Big Volumes”. International Journal of Intelligent Systems and Applications in Engineering, c. 4, sy Special Issue-1, Aralık 2016, ss. 141-5, doi:10.18201/ijisae.270369.
Vancouver
1.Yunus Santur, Sinem Güven Santur. Knowledge Mining Approach For Healthy Monitoring From Pregnancy Data With Big Volumes. International Journal of Intelligent Systems and Applications in Engineering. 01 Aralık 2016;4(Special Issue-1):141-5. doi:10.18201/ijisae.270369

Cited By