3. Define each of the following data mining functionalities: characterization, discrimination, association and correlation analysis, classification, regression, clustering, and outlier analysis. Give examples of each data mining functionality, using a real-life database that you are familiar with. Answer:

Our discussion provides a broad introduction. We expect that many new books dedicated to the mining of complex kinds of data will become available in the future. As this chapter focuses on the mining of stream data, time-series data, and sequence data, let’s look at each of these areas.

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surface mining, method of extracting minerals near the surface of the Earth. The three most common types of surface mining are open-pit mining, strip mining, and quarrying. See also mining and coal mining. This article was most recently revised and updated by Amy Tikkanen.