What Is Data Mining And What Is The Difference Between Web Scraping And Data Mining?

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What is Data Mining?

Data mining is combing through large data sets to locate the essential information that you or your company want. It's part of the bigger picture of data science and analytics.

You could think of data mining as a synonym for web scraping when you hear the word. Data mining does not entail data collection, extraction, or scraping. It's the process of analyzing vast volumes of data to provide useful insights and trends to data-driven enterprises. Web scraping, also known as web data extraction, is the practice of automatically gathering data from a website.

After you've gathered all of the information you'll need, you can begin data mining, or analyzing the data sets. Before you can begin the process of data mining, you must first complete several tasks – learn more them in the following paragraphs. But first, let's discuss about data mining's legal implications.

Is Mining Data a Legal Procedure?

The data available utilized in data mining originates from a variety of sources as diverse as the data mining applications themselves. Forecasting shopper behavior and financial ...
... services are only a few of the uses, which also include science studies, construction, and farming, weather forecasting, and crime prevention.

Data mining, or the technique of collecting actionable information from vast public data sets, is not inherently unlawful. It's the way the data was gathered and how it was utilized that might put you in legal and ethical hot water.

A lot of the data like road traffic movements or weather information – may be in the public domain. However, it's important to be aware of legal constraints such as copyright and data privacy laws. Equally, insights gained from data mining should not be used to discriminate against individuals or groups of people.

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