Main Functions of Using Data Mining

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After the inspection is complete, the data is stored in a specific format, such as a spreadsheet , flat file , or relational table . The data storage can be done centrally or in several locations.

At this final stage, you can predict future trends through data mining results. For example, a beverage company finds out what its customers like using data mining techniques .

Every customer's favorite search history is done through the website to be stored in the database. Then, the company draws patterns with the data so that it can group customers based on preferences.

After understanding the meaning of data list of france cell phone numbers mining, what is its function in the digital world?

There are seven main functions of using data mining in digitalization .

data mining is a necessity
Here is the explanation.

1. Descriptive
As a descriptive function , data mining is positioned as a way to find specific information patterns hidden in some data. Thus, you can find out the value of the characteristics of the data.

2. Predictive
In this case, data mining is used to check unknown variables after the information pattern is found. For example, you have found a data pattern of customer shopping habits with the price variable.

After the results are displayed, it turns out that you find consumer spending tendencies in several colors. From here comes a new variable, namely the customer's favorite color.

3. Classification
Data mining has a classification function , which is to make conclusions about several definitions of a group's characteristics. For example, store customers who change their shopping place because competitors are considered better.

4. Clustering
The clustering function involves grouping data with specific characteristics. In this case, data mining is used to identify certain products that have distinctive characteristics.

5. Association
Data mining also functions as a tool to identify correlations between past and present events.

6. Sequencing
Sequencing is defined as the function of identifying the correlation of different events at a certain time. For example, consumers who visit a supermarket repeatedly.

7. Forecasting
Forecasting is a prediction of future values ​​based on big data that has formed a pattern. For example, the prediction of agricultural development in Indonesia in the next five years.