When evaluating mining results, data mining and evaluating becomes

Q. When evaluating mining results, does data mining and evaluating become an intuitive process?

“Data mining” is technically associated with analysis of very large data sets, to appreciate patterns,and attempt to look at cause to effect relationships. Most of the data is quantitative in nature, and many of the tools relate to that of analysis of numerical /quantitative data.

Explanation:

One of the rules of the game of quantitative analysis, is to allow the “data to do the talking”, Your intuition CANNOT replace the results of quantitative analysis: whether through data mining or humble pencil and paper calculation on the back of an envelope.

With experience you may perhaps see a lot of “counter intuitive results”, Where the final outcome does not make “common sense” - but that is what the data is saying.

It is useful NOT to allow emotions, opinions, to come in the way of any sort of quantitative data analysis.

If you can specify what sort of data you are analyzing a more precise answer can be attempted.

there is no universally accepted definition of art. although commonly used to describe something of beauty, or a skill which produces an aesthetic result, there is no clear line in principle between (say) a unique piece of handmade sculpture, and a mass-produced but visually attractive item. we might say that art requires thought - some kind of creative impulse - but this raises more questions: for example, how much thought is required? if someone flings paint at a canvas, hoping by this action to create a work of art, does the result automatically constitute art?