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Robert Tibshirani

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In general terms, "Mining" is the process of extraction of some valuable material from the earth e.g. coal mining, diamond mining etc. In the context of computer science, "Data Mining" refers to the extraction of useful information from a bulk of data or data warehouses.One can see that the term itself is a little bit confusing. In case of coal or diamond mining, the result of

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Data mining is a key member in the Business Intelligence (BI) product family, together with Online Analytical Processing (OLAP), enterprise reporting and ETL. Data mining is about analyzing data and finding hidden patterns using automatic or semiautomatic means.

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What is Data Mining? While there is a great deal of interest in the role of big data to make decisions, the truth is that many companies have plenty of data on their own servers.

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Data mining can provide huge paybacks for companies who have made a significant investment in data warehousing. Although data mining is still a relatively new technology, it is already used in a number of industries. Table lists examples of appliions of data mining

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You will build three data mining models to answer practical business questions while learning data mining concepts and tools. Intermediate Data Mining Tutorial (Analysis Services Data Mining) This tutorial contains a collection of lessons that introduce more advanced data mining concepts and techniques. The scenarios include these model types:

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The data mining tutorial section gives you a brief introduction of data mining, its important concepts, architectures, processes, and appliions. If you are new to data mining and looking for a good overview of data mining, this section is designed just for you.

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