By the using process of extracting patterns from data, open source data mining is an important tool to turn data that is collected into information. The data mining is generally used in many varied forms of profiling operations and widely common in surveillance, marketing and fraud detection. The first step of the process is classifying the data and rearranging it in groups. You can also cluster the data by not predefining the groups and letting the tool put similar data together. And then there's the regression that will try to find a factor that can be used to merge the data with its last error. It's a great tool used best for surveillance, businesses, science and engineering.
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