Ticker Disorder Forecasting using Approximate Strategies
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The term "data mining" was coined during the digital revolution. The concept has been around for more than a century, but it gained popularity in the 1930s. Alan Turing proposed one of the first examples of data mining in 1936 when he presented a universal machine that could do computations similar to modern computers. Big data is a commercial method for converting raw data into meaningful information. Businesses may learn more about their customers by using algorithms to search for patterns in massive volumes of data, which allows them to improve their marketing efforts, generate revenue, and...
The term "data mining" was coined during the digital revolution. The concept has been around for more than a century, but it gained popularity in the 1930s. Alan Turing proposed one of the first examples of data mining in 1936 when he presented a universal machine that could do computations similar to modern computers. Big data is a commercial method for converting raw data into meaningful information. Businesses may learn more about their customers by using algorithms to search for patterns in massive volumes of data, which allows them to improve their marketing efforts, generate revenue, and cut expenditures. Effective data gathering, warehousing, and computer processing are all required for data mining. The importance of data mining in categorization and its role in heart disease prediction is highlighted in this chapter. In addition, numerous risk factors for Coronary Vascular Disease (CVD) are reviewed.
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