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Introduction to Data Mining_ A Complete Guide.pdf - Courses...

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Home> Data Science >Introduction to Data Mining: A Complete GuideIntroduction to Data Mining: A CompleteGuidePicking an online bootcamp is hard. Here are six key factors you should consider when making yourdecision.Here’s what we’ll cover:What Is Data Mining?How Does Data Mining Work?Data Mining Process In 5 StepsWhat Is Data Mining Often Confused With?3 Common Data Mining Applications4 Key Data Mining Programming Languages7 Essential Data Mining TechniquesEssential Data Mining ToolsData Mining: Frequently Asked QuestionsData mining is the process of ±nding anomalies, patterns, and correlations within large datasets to predictfuture outcomes. This is done by combining three intertwined disciplines: statistics, arti±cial intelligence,and machine learning.Read on to learn more about the uses of data mining in the real world, important distinctions between datamining and other related data functions, and data mining tools and techniques.Data mining is an automated process that consists of searching large datasets for patterns humans mightnot spot.For example, weather forecasting is based on data mining methods. Weather forecasting analyzes trovesof historical data to identify patterns and predict future weather conditions based on time of year, climate,and other variables.This analysis results in algorithms or models that collect and analyze data to predict outcomes withincreasing accuracy.In the information economy, data is downloaded, stored, and analyzed for most every transaction weperform, from Google searches to online shopping. The bene±ts of data mining are applicable acrossindustries, from supply chains to healthcare, advertising, and marketing.Data mining business use cases typically center around personalizing customer experiences.For example, Spotify’s AI recommendation engine uses proprietary algorithms to understand a user’smusic tastes and point the user towards new genres, artists, and tracks.In another example of data mining in business, insurance companies use data mining to evaluate therisk of a life insurance applicant and assign them a corresponding premium.Doctors also use data mining to check whether premature babies are developing dangerousinfections.Predictive analytics help businesses personalize user interactions, determine the best time to upsell orcross-sell a customer, identify cost ine²ciencies in their supply chain, and analyze user behavior to deducecustomer pain points.The data mining process consists of ±ve steps. Learning more about each step of the process provides aclearer understanding of how data mining works.1.Collection.Data is collected, organized, and loaded into a data warehouse. The data is stored andmanaged either on in-house servers or in the cloud.
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