Data mining can be involved into those places where necessary data patterns needs to be find. Now a days several strategies combined with machine learning. Like, Big data, Deep learning etc. You may follow these below links and papers...

http://ieeexplore.ieee.org/abstract/document/7894496/

https://arxiv.org/ftp/arxiv/papers/1701/1701.02163.pdf

Data mining involves all the strategies that contribute to making sense from data. Building Logical agent is often difficult because the developer requires posses the complete knowledge of the agent and that is only possible when the environment is deterministic, fully-observable and known. However, when these attributes are unavailable we can only make the development of intelligent system possible by gleaning model from dataset relating to the system. That is the role of data mining and machine learning. Artificial Intelligence is the automation of intelligent behaviour in artificial system. Any process of realising this intelligence behaviour in a machine is an AI technique.

A normal algorithm can solve only numerically complex computations, where as data mining involves tasks such as, Anomaly detection, Search for relationships between variables, Clustering, Classification, Regression, Summarisation etc. which is not possible using a normal data processing algorithm. These perceptual kind of tasks are suitably achieved using AI algorithms.

Data mining can be involved into those places where necessary data patterns needs to be find. Now a days several strategies combined with machine learning. Like, Big data, Deep learning etc. You may follow these below links and papers...

http://ieeexplore.ieee.org/abstract/document/7894496/

https://arxiv.org/ftp/arxiv/papers/1701/1701.02163.pdf