| Summary: | Big data [1] is a term that refers to large amounts of organized, slow-moving, and informal data that a company encounters on a daily basis. However, it is not the amount of information that is important. What matters is what organizations do with their knowledge. Big data can be read in detail leading to educated judgment and smart business movements. It is difficult or impossible to process using traditional methods because it is so large, rapid, or complex. [2] The act of obtaining and storing massive volumes of data has been around for a long time in analytics. The notion of big data gained traction in the early 2000s when market analyst Doug Laney proposed a wide perspective of big data called the five Vs (Volume, Velocity, Variety, Variety, and Veracity). [3] Volume refers to the amount of data, Velocity in the speed at which data is created, and variability in heterogeneity and data complexity. (e.g. multilingual text, images, videos, voice, functions, and producer population, context, consumer characteristics, etc.) bad. When it's all said and done, it's pointless to own and generate Big Data. The research community of data mining and artificial intelligence should encourage the next big step "to provide reliable, efficient, predictable, and timely information from a variety of information, complex, online, high and large". Epidemics cause serious economic, health and social consequences worldwide [4]. Infectious diseases are an epidemic, where the spread of the disease has reached an epidemic stage, and it is likely to spread across the country. Epidemics can successfully wipe out entire populations. [5] Cholera, influenza, yellow fever, dengue fever, avian flu, and diphtheria are just a few of the well-known illnesses that have afflicted people all over the world. Infectious illness is one of the factors that accounts for 43 percent of all deaths worldwide and causes severe health issues. [6] In current and historical eras, India has seen epidemics and epidemics in many areas of the world. ...
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