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A Survey on Trajectory Data Mining: Techniques and Applications
IEEE Access, 2016 Rapid advance of location acquisition technologies boosts the generation of trajectory data, which track the traces of moving objects. A trajectory is typically represented by a sequence of timestamped geographical locations.
Zhenni Feng, Yanmin Zhu
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A review of data mining techniques
Industrial Management and Data Systems, 2001 Terabytes of data are generated everyday in many organizations. To extract hidden predictive information from large volumes of data, data mining (DM) techniques are needed. Organizations are starting to realize the importance of data mining in their strategic planning and successful application of DM techniques can be an enormous payoff for the ...
Keng Siau
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Data Mining Techniques in Fraud Detection
Journal of Digital Forensics, Security and Law, 2008 The paper presents application of data mining techniques to fraud analysis. We present some classification and prediction data mining techniques which we consider important to handle fraud detection.
Rekha Bhowmik
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Data Mining Techniques in Decision Making
NUML International Journal of Engineering and Computing, 2023 Data mining aims to find relevant information for decision-making, forecasting, optimising, and other business or research reasons. In this study, data mining is used in the domain of decision-making.
Amna Sajid, Basit Amin
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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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Diabetes prediction model using data mining techniques
Measurement: Sensors, 2023 Diabetes is the leading cause of death in the world, and it also affects kidney disease, loss of vision, and heart disease. Data mining techniques contribute to health care decisions for accurate disease diagnosis and treatment, reducing the workload of ...
Rashi Rastogi, Mamta Bansal
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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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