Data mining vs Pattern recognition [closed]

Question

It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center.

Closed 9 years ago.

What is the difference between Data mining and Pattern recognition?

Thanks.

Answer 1

First, I'm going to directly quote the two tags you put on this question:

The data-mining tag says:

Data mining is the process of analyzing large amounts of data in order to find patterns and commonalities.

The pattern-recognition tag says:

Pattern recognition is the term given to the science of automating the classification of input into pre-determined categories, or on the other hand, of being able to recognise particular categories of input by their characteristics.

Now, irony aside, the way I've always seen it is that in data mining you don't necessarily know the patterns. You have to look for them, which can often involve a lot of hunch-following and guess-work combined with a bit of solid testing.

In pattern-matching, you tend to know the patterns already and you search for them based on their features.

Answer 2

What i think is pattern Recognition is a part of data mining, whenever we talk about data mining we talk in broad sense, it include understanding the large dataset to do particular operation, while patetrn recognition means checking two entity to find a similar pattern/trend