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Home / programming language / Online Java Projects / A Review Paper on Dengue Disease Forcasting Using Data Mining Techniques
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A Review Paper on Dengue Disease Forcasting Using Data Mining Techniques

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SKU: PROJ8538 Categories: 2018-2019 Projects, Datamining Projects, Online Java Projects Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Matlab Project, PHP Project, Students Projects
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A Review Paper on Dengue Disease Forcasting Using
Data Mining Techniques

Abstract-Data Mining is a standout amongst the most comprehensively and rousing zones of research with the motivation behind discovering significant information from vast data collections In Medical ventures, Data Mining gives many points of interest, for example, the location of the extortion in medical coverage, illness forecast, and accessibility of the therapeutic solution for the patients at lower cost, recognition of reasons for sicknesses and distinguishing proof of restorative treatment techniques. It is additionally helpful to foresee the hazardous maladies like- Dengue fever, Cancer, Diabetes and so forth. In addition have learned about data mining that is utilized as a part of the restorative information field. There are different issues in getting information since data are put away in various diverse arrangement which is profoundly intricate. We depict a dengue fever forecast. Forecasts (or Prediction) are most critical things to foresee the infections on the premise of manifestations, topographical illustrations area, and others. Dengue fever is an influenza-like an infection that happens by the chomp of Aedes mosquitoes which is quick developing as a noteworthy medical issue. In this study, we characterize dengue fever, its infections, and indications. Here, we likewise characterize the association rule mining that has diverse distinctive algorithms which are additionally helpful in prediction.

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