CSC 240 Data Mining
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Data mining as per the course CSC 240 Data Mining is a process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. It is an interdisciplinary subfield of PCs science and statistics with an overall goal to extract data from a data set and transform the information into a comprehensible structure for further use. As per the course CSC 240 Data mining, it is the analysis step of the "knowledge discovery in databases" process, or KDD.
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