The correct answer is A. Data mining.
Data mining is the process of extracting patterns from large data sets using statistical, mathematical, and machine learning techniques. It is a subset of data science and big data.
Data mining is used to discover new patterns and relationships in data that would not be apparent by simply looking at the data. It can be used to identify trends, predict future events, and make better decisions.
Data mining is a powerful tool that can be used to solve a variety of problems. However, it is important to note that data mining is not a silver bullet. It is important to have a clear understanding of the problem that you are trying to solve before you start data mining.
Here is a brief explanation of each option:
- Big data is a term used to describe the large and complex data sets that are generated by modern technology. Big data can be difficult to manage and analyze using traditional methods.
- Data wrangling is the process of cleaning and organizing data so that it can be used for analysis. Data wrangling can be a time-consuming and tedious process, but it is essential for ensuring the accuracy of data analysis.
- Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. Machine learning is used in a variety of applications, including spam filtering, web search engines, and fraud detection.
I hope this helps!