The essential process in which intelligent methods are applied to extract data patterns is c. Data mining.

Here's a step-by-step explanation:

1. Warehousing: This is the process of storing data in an organized manner, usually in a database. It doesn't involve extracting patterns from data.

2. Text mining: This is a specific type of data mining that involves extracting useful information from text. It's not the general process that applies intelligent methods to extract data patterns.

3. Data mining: This is the correct answer. Data mining is the process of discovering patterns in large data sets using methods at the intersection of machine learning, statistics, and database systems. It's an essential process for extracting data patterns.

4. Data selection: This is the process of choosing which data to use for a particular purpose. It doesn't involve extracting patterns from data.

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The essential process in which intelligent methods are applied to extract data patterns is c. Data mining.

Here's a step-by-step explanation:

1. Warehousing: This is the process of storing data in an organized manner, usually in a database. It doesn't involve extracting patterns from data.

2. Text mining: This is a specific type of data mining that involves extracting useful information from text. It's not the general process that applies intelligent methods to extract data patterns.

3. Data mining: This is the correct answer. Data mining is the process of discovering patterns in large data sets using methods at the intersection of machine learning, statistics, and database systems. It's an essential process for extracting data patterns.

4. Data selection: This is the process of choosing which data to use for a particular purpose. It doesn't involve extracting patterns from data.

Knowee AI · Accepted Answer

The essential process in which intelligent methods are applied to extract data patterns is c. Data mining.

Here's a step-by-step explanation:

1. Warehousing: This is the process of storing data in an organized manner, usually in a database. It doesn't involve extracting patterns from data.

2. Text mining: This is a specific type of data mining that involves extracting useful information from text. It's not the general process that applies intelligent methods to extract data patterns.

3. Data mining: This is the correct answer. Data mining is the process of discovering patterns in large data sets using methods at the intersection of machine learning, statistics, and database systems. It's an essential process for extracting data patterns.

4. Data selection: This is the process of choosing which data to use for a particular purpose. It doesn't involve extracting patterns from data.

Which of the following is an essential process in which the intelligent methods are applied to extract data patterns?Question 12Answera.Warehousingb.Text miningc.Data miningd.Data selection

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