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Data Mining Technique Used in Order to Analysis the Capacitive Sensor
American Journal of Data Mining and Knowledge Discovery
Volume 4, Issue 2, December 2019, Pages: 57-62
Received: May 31, 2019; Accepted: Jul. 10, 2019; Published: Oct. 23, 2019
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Nafise Masomi, Department of Engineering, Yadegar-e-Imam Khomeini (RAH) Shahr-e-Rey Branch, Islamic Azad University, Tehran, Iran
Elham Ghanbari, Department of Engineering, Yadegar-e-Imam Khomeini (RAH) Shahr-e-Rey Branch, Islamic Azad University, Tehran, Iran
Mohammad Taghi Adl, Department of Engineering, Yadegar-e-Imam Khomeini (RAH) Shahr-e-Rey Branch, Islamic Azad University, Tehran, Iran
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Data mining, also referred to as knowledge extraction from databases, is one of the most important analytical methods for identifying the relationships between the various elements of the information collected in order to discover the useful knowledge and support of strategic decision-making and sustainable development systems in various industries. Mathematical modeling, quantitative analysis of data and new algorithms can identify new relationships between different data, which in turn leads to competitive advantage. Olive oil is one of the most important agricultural crops due to its digestive properties and economic status. However, olive oil production is a costly process which causes an expensive price of the final product. The most jobbery ways during olive oil production consist of mixing other oils such as maize, sunflower, Canola and corn into the olive oil. So, the aim of this study was to develop a dielectric-based system to Authenticate in olive oil using cylindrical capacitive sensor. For categorizing of fake olive oil by using frequency specification, Support vector machine, linear regression, Ensemble Trees and Gaussian was developed. A set of 16 samples of olive oil, sunflower, canola and corn oil which mixed with different ratio of Authentication, were used for calibration and evaluation of developed system.
Data Mining, Regression, Olive Oil, Authentication
To cite this article
Nafise Masomi, Elham Ghanbari, Mohammad Taghi Adl, Data Mining Technique Used in Order to Analysis the Capacitive Sensor, American Journal of Data Mining and Knowledge Discovery. Vol. 4, No. 2, 2019, pp. 57-62. doi: 10.11648/j.ajdmkd.20190402.11
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This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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