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Data Mining.docx - Data Mining What Is Data Mining? Data...

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Data MiningWhat Is Data Mining?Data mining is a process used by companies to turn raw data into useful information. Byusing software to look for patterns in large batches of data, businesses can learn more abouttheir customers to develop more effective marketing strategies, increase sales and decreasecosts.Data mining depends on effective data collection, warehousing, and computer processing.Data mining processes are used to build machine learning models that power applicationsincluding search engine technology and website recommendation programs.How Data Mining WorksData mining involves exploring and analysing large blocks of information to gain meaningfulpatterns and trends. It can be used in a variety of ways, such asdatabase marketing,creditrisk management,fraud detection,spam Email filtering, oreven opinion of users.The data mining process breaks down into five steps.1.First, organizations collect data and load it into their data warehouses.2.Next, they store and manage the data, either on in-house servers or in the cloud.3.Business analysts, management teams and information technology professionalsaccess the data and determine how they want to organize it.4.Then, application software sorts the data based on the user's results.5.Finally, the end-user presents the data in an easy-to-share format, such as a graph ortable.Data Warehousing and Mining SoftwareData mining programs analyze relationships and patterns in data based on what user’srequest. For example, a company can use data mining software to create classes ofinformation. To illustrate, imagine a restaurant wants to use data mining to determine when itshould offer certain specials. It looks at the information it has collected and creates classesbased on when customers visit and what they order.
In other cases, data miners find clusters of information based on logical relationships or lookat associations and sequential patterns to draw conclusions about trends in consumerbehaviour.

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