Having read from great authors and researchers, I had always taken the definition of data mining for granted. Following the tradiitons of Occam's Razor, I tried to summarize one myself but felt the difficulty of covering the entire spectrum of data mining which is ever evolving. Anyways, here is my try...
Data Mining is a process of extraction of non-trivial patterns from massive datasets which either provides descriptive insights of the data (not perceived without this extraction) or provides actionable intelligence (in the form of reusable patterns which the process extracted). Where actionable intelligence is a structure of explicitly representable patterns which can be used for decision making either manually or computationally.
What do you think about it? Any Comments/Critics....?
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