Automated data mining
Automated data mining is a process of extracting data from large datasets using automated algorithms and software. It involves the use of sophisticated techniques such as machine learning, natural language processing, and artificial intelligence to analyze large volumes of data and uncover hidden patterns and relationships. Automated data mining can be used
Automated mining involves the removal of human labor from the mining process. The mining industry is in the transition towards automation. It can still require a large amount of human capital, particularly in the developing world where labor costs are low so there is less incentive to increase efficiency. There are two types of automated mining: process and software automation, and the application of robotic technology to mining vehicles and equipment.