What´s Data Mining?

In chapter 1 we explain the explosive increase in the amount of data and the challenges leading to the emergence of data mining by finding interesting patterns from a large amount of data. Data mining is the process of extracting interesting (effective, new, useful, and understandable) patterns from practical big data that can be used in corporate decision-making processes. Data mining is one of the core processes of knowledge discovery in databases. The basic types of data mining techniques are association rules, classification and clustering, web mining, and sequential pattern mining.

In this article, I first define and explain what data mining is. It also tries to determine why data mining is useful and suggests that data mining involves the use of techniques for data analysis and finding patterns and patterns in the data set. In order to verify the data mining claims, investigate the background of data mining. Here, we compare the data mining fields by summarizing the survey into learning, statistics and other fields. We will study research data mining model, description verification model, discovery model and so on. It describes the data warehouse and shows the impact of a well-defined data warehouse on the quality of the extracted data. Investigate the processes in the data warehouse and investigate the differences between the data warehouse model including the online transaction processing system (OLTP) and the data warehouse.

This article describes the data warehouse and data mining, tools and techniques for data mining and data warehousing, and the advantages of applying this concept to an organization. It also includes data warehousing and data mining trends and applications in the current business community. Organizations use the information system to record and retrieve data from daily transactions. The information system linked to that database provides valuable data to make important and strategic decisions about the company's happiness. Organizations can predict what they have not achieved yet. This data can also be used to provide a possible solution to solve the problem you are facing and you can also use this data to gain a competitive advantage in the business environment.

Data mining is an area that uses intelligent information management tools to discover knowledge and extract information to support the decision making process within the organization. Data mining is a way to discover the behavior of data in large datasets by exploring data, adapting different models, and investigating the various relationships of large repositories.