Association rule mining

Question

Anyone can explain what is association rule mining and why to use it?

Answer 1

Did you try searching it on Google?
What i found after searching on Google:-

Association rule mining is a machine learning technique that discovers hidden relationships between variables in large datasets.
It's a popular method in data mining and machine learning with applications in many fields, including:

Market basket analysis: Association rules can help determine which items are likely to be purchased together.
For example, a supermarket might find that customers who buy onions and potatoes also tend to buy hamburger meat.

Customer segmentation: Association rules can help businesses understand customer behavior and decision-making processes.

Fraud detection: Association rules can help identify fraudulent activity.

Some types of association rules include:
Multi-relational rules: Can simplify complex databases with multiple tables

Generalized rules: Can provide a big-picture view for strategic decisions

Answer 2

The idea is with respect to data discovery.

Data mining by definition (used in research) is the non-trivial extraction of implicit, potentially useful, previously unknown information through data.

So basically, you are applying it to learn new knowledge that would otherwise be difficult to find. You don't know about your data, and you wish to capture relationships or patterns from among it.

it's applicable in any form of data science.

I've written a post about data mining, perhaps you'll find it helpful: https://www.sololearn.com/post/1727349/?ref=app

Contrary to popular belief, you should not be relying on AI generated material on topics you don't know, since you can't decipher inaccurate predictions. Also, google is convoluted. Nothing wrong with asking, so don't feel demotivated to do so again.

Answer 3

Have you considered using a search engine and A.I.? The answers are bound to help you find what you're looking for.

https://sololearn.com/compiler-playground/W0uW3Wks8UBk/?ref=app