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An overview: the impact of data mining applications on various sectors

Mümine Kaya Keleş   ORCID icon orcid.org/0000-0001-8414-1713 ; Department of Computer Engineering, Adana Science and Technology University, Adana, Turkey

Puni tekst: engleski, pdf (335 KB) str. 128-132 preuzimanja: 2.701* citiraj
APA 6th Edition
Kaya Keleş, M. (2017). An overview: the impact of data mining applications on various sectors. Tehnički glasnik, 11 (3), 128-132. Preuzeto s https://hrcak.srce.hr/186659
MLA 8th Edition
Kaya Keleş, Mümine. "An overview: the impact of data mining applications on various sectors." Tehnički glasnik, vol. 11, br. 3, 2017, str. 128-132. https://hrcak.srce.hr/186659. Citirano 23.11.2019.
Chicago 17th Edition
Kaya Keleş, Mümine. "An overview: the impact of data mining applications on various sectors." Tehnički glasnik 11, br. 3 (2017): 128-132. https://hrcak.srce.hr/186659
Harvard
Kaya Keleş, M. (2017). 'An overview: the impact of data mining applications on various sectors', Tehnički glasnik, 11(3), str. 128-132. Preuzeto s: https://hrcak.srce.hr/186659 (Datum pristupa: 23.11.2019.)
Vancouver
Kaya Keleş M. An overview: the impact of data mining applications on various sectors. Tehnički glasnik [Internet]. 2017 [pristupljeno 23.11.2019.];11(3):128-132. Dostupno na: https://hrcak.srce.hr/186659
IEEE
M. Kaya Keleş, "An overview: the impact of data mining applications on various sectors", Tehnički glasnik, vol.11, br. 3, str. 128-132, 2017. [Online]. Dostupno na: https://hrcak.srce.hr/186659. [Citirano: 23.11.2019.]

Sažetak
In recent years, it has become difficult to reach to the reliable information with increasing complicated, non-significant, unclear, large and raw data. The need for accurate analysis of reliable information from large data has also increased in direct proportion to the rate of data growth. The Data Mining Method, which is a statistical application, is used in any desired area to be accessed to the reliable and meaningful information. In this study, the areas where data mining methods are used were explained, a literature review about banking and finance, education, telecommunication, health, public, construction, engineering and science sectors was made, and the impact of the data mining was discussed. This study is aimed to provide a contribution to the literature eliminating the gap in the mentioned area and to bring an innovation to the applications and work in these areas.

Ključne riječi
data mining; engineering; knowledge discovery process; science; statistic

Hrčak ID: 186659

URI
https://hrcak.srce.hr/186659

Posjeta: 2.872 *