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Application of machine learning methods to large databases is called

A. data mining.

B. artificial intelligence

C. big data computing

D. internet of things

Answer: Option A

Solution(By Examveda Team)

Application of machine learning methods to large databases is called:

Option A: Data Mining
The process of applying machine learning techniques to large databases to discover patterns, relationships, and valuable information is commonly referred to as data mining. Data mining is a critical application of machine learning in handling vast datasets. So, Option A is the correct answer.

Option B: Artificial Intelligence
Artificial intelligence (AI) is a broader field that encompasses machine learning as one of its subfields. While AI may involve machine learning, it is not specifically focused on the application of machine learning to large databases. Therefore, Option B is not the correct answer.

Option C: Big Data Computing
Big data computing refers to the processing and analysis of large volumes of data, but it does not specifically imply the application of machine learning methods. Machine learning can be part of big data computing, but the term "big data computing" is not synonymous with applying machine learning to large databases. Therefore, Option C is not the correct answer.

Option D: Internet of Things
The Internet of Things (IoT) is a concept related to connecting physical devices and objects to the internet. While machine learning may play a role in processing data generated by IoT devices, it does not directly describe the application of machine learning methods to large databases. Therefore, Option D is not the correct answer.

In summary, the application of machine learning methods to large databases is commonly known as data mining, making Option A the correct choice.

This Question Belongs to Computer Science >> Machine Learning

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