What is true about data mining?Question 8Answera.Data Mining is defined as the procedure of extracting information from huge sets of datab.Data mining also involves other processes such as Data Cleaning, Data Integration, Data Transformationc.Data mining is the procedure of mining knowledge from data.d.All of the above

The correct answer is d. All of the above.

Here's why:

a. Data Mining is indeed defined as the procedure of extracting information from huge sets of data. It involves exploring and analyzing large amounts of data to find patterns for big data.

b. Data mining does involve other processes such as Data Cleaning, Data Integration, Data Transformation. Data cleaning is the process of preparing data for analysis by removing or modifying data that is incorrect, incomplete, irrelevant, duplicated, or improperly formatted. Data integration is the process of combining data from different sources into a single, unified view. Data transformation is the process of converting data from one format or structure into another.

c. Data mining is the procedure of mining knowledge from data. The main goal of data mining is to extract valuable information from these large data sets and convert it into an understandable structure for further use.

So, all of the statements are true about data mining.