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Identification of Significant Features and Data Mining Techniques in Predicting Heart Stroke
International Journal of Advanced Research in Science, Communication and Technology, 2022 The health-care industry generates a large amount of data, which is processed using certain methodologies. One technique that is frequently utilized is data mining. Heart disease is the leading cause of death on a global scale.
Vikram Gude +3 more
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Detecting Financial Fraud Using Data Mining Techniques: A Decade Review from 2004 to 2015
Journal of Data Science, 2021 Objective: Financial fraud has been a big concern for many organizations across industries; billions of dollars are lost yearly because of this fraud. So businesses employ data mining techniques to address this continued and growing problem.
M. Albashrawi
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Data mining techniques applied in the analysis of historical data [PDF]
Arhiv za farmaciju, 2022 Understanding the effect of the characteristics of formulation and process parameters on the physicochemical properties of a pharmaceutical product is very significant for the development of solid dosage forms, as the knowledge gained on small scale ...
Kovačević Jovana +4 more
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Integrating Data Mining Techniques into Telemedicine Systems [PDF]
Informatică economică, 2014 The medical system is facing a wide range of challenges nowadays due to changes that are taking place in the global healthcare systems. These challenges are represented mostly by economic constraints (spiraling costs, financial issues), but also, by the ...
Mihaela GHEORGHE, Ruxandra PETRE
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Data Mining Classification Techniques for Diabetes Prediction
Qubahan Academic Journal, 2021 Diabetes may be predicted and prevented by exploring critical diabetes characteristics by computational data extraction methods. This study proposed a system biology approach to the pathogenic process to identify essential biomarkers as drug targets. The
Hindreen Rashid Abdulqadir +2 more
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INTERMITTENT DEMAND FORECASTING USING DATA MINING TECHNIQUES [PDF]
Applied Computer Science, 2018 Intermittent demand occurs randomly with changing values and a lot of periods having zero demand. Ad hoc intermittent demand forecasting techniques have been developed which take special intermittent demand characteristics into account.
Gamze Ogcu KAYA, Ali TURKYILMAZ
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Data Mining: Concept, Aplications and Techniques
ASEAN Journal on Science and Technology for Development, 2017 Data Mining: Concept, Aplications and ...
Wang Guohua, E H Francis
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Mining customer dynamics in designing customer segmentation using data mining techniques [PDF]
Journal of Information Technology Management, 2014 One of the main problems in dynamic customer segmentation is finding the dominant patterns of customer movements between different segments via time. Accordingly, we concentrate on the customer dynamics in this paper and try to find different groups of ...
lham Akhondzadeh-Noughabi +2 more
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Privacy-Preserving Data Mining of Medical Data Using Data Separation-Based Techniques
Data Science Journal, 2007 Data mining is concerned with the extraction of useful knowledge from various types of data. Medical data mining has been a popular data mining topic of late.
Gang Kou +3 more
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Data Mining Techniques for Pandemic Outbreak in Healthcare
JOIV: International Journal on Informatics Visualization, 2021 Pandemic outbreaks such as SARS-CoV, MERS-CoV and Covid-19 have attracted worldwide attention since these viruses have affected many countries and become a global public health issue.
Nur Izyan Suraya Abdul Satar +2 more
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