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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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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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Data Mining Techniques in Analyzing Process Data: A Didactic
Frontiers in Psychology, 2018 Due to increasing use of technology-enhanced educational assessment, data mining methods have been explored to analyse process data in log files from such assessment.
Xin Qiao, Hong Jiao
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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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Analysis of agriculture data using data mining techniques: application of big data
Journal of Big Data, 2017 In agriculture sector where farmers and agribusinesses have to make innumerable decisions every day and intricate complexities involves the various factors influencing them.
Jharna Majumdar +2 more
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Effective heart disease prediction system using data mining techniques
International Journal of Nanomedicine, 2018 Poornima Singh,1 Sanjay Singh,2 Gayatri S Pandi-Jain1 1L. J. Institute of Engineering and Technology, Gujarat Technological University, 2Institute of Life Sciences, School of Science and Technology, Ahmedabad University, Ahmedabad, Gujarat, India ...
Singh P, Singh S, Pandi-Jain GS
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Performance Comparison of Machine Learning Approaches on Hepatitis C Prediction Employing Data Mining Techniques [PDF]
Bioengineering, 2023 Tan-Hsu Tan, Tan Tan-Hsu
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IEEE Access, 2021 Cardiovascular disease is a substantial cause of mortality and morbidity in the world. In clinical data analytics, it is a great challenge to predict heart disease survivor. Data mining transforms huge amounts of raw data generated by the health industry
Abid Ishaq +6 more
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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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