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.
Related Questions on Machine Learning
In simple term, machine learning is
A. training based on historical data
B. prediction to answer a query
C. both A and B
D. automization of complex tasks
Which of the following is the best machine learning method?
A. scalable
B. accuracy
C. fast
D. all of the above
The output of training process in machine learning is
A. machine learning model
B. machine learning algorithm
C. null
D. accuracy
Application of machine learning methods to large databases is called
A. data mining.
B. artificial intelligence
C. big data computing
D. internet of things
Join The Discussion