Archives for data mining algorithms
Data mining is considered to be one of the popular terms of machine learning as it extracts meaningful information from the large pile of datasets and is used for decision-making tasks. It is a technique to identify patterns in a pre-built database and is used quite extensively by organisations as well as academia. The various…
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CRISP-DM is a popular methodology that follows a standard, end-to-end structured approach to solving a problem that requires data science. More precisely, CRISP-DM or CRoss-Industry Standard Process for Data Mining focuses on the data mining part of the operation. Industries and organisations have been undergoing machine learning-driven approaches for a few years now. However, this…
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Cluster analysis is the statistical method of grouping data into subsets that have application in the context of a selective problem. This technique is widely used to club data/observations in the right segments so that data within any segment are similar while data across segments are different. However, defining “similar” or “different” observations is a…
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How Data Mining Works
There is an abundance of data across various industries, but it only becomes useful when it is transformed into information. The method of extracting information from enormous data is known as data mining. Data mining find its application across various industries such as market analysis, business management, fraud inspection, corporate analysis and risk management, among…
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AI Digs Deep Into The Mining Industry, Revolutionizes One Of The World’s Most Profitable Sectors
Mining is a dominant industry which generates a lot of business for countries across the globe. It practically impacts every facet of the economy as it contributes to the raw materials needed for almost every sector from electronics to energy. While the mining industry is hugely profitable, it also faces issues around power, infrastructure, health,…
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