What are the requirements of data mining?

Data mining is a demanding job, because data mining serves data, so it must be foolproof in order to make the results conform to the real objective reality. What are the requirements of data mining? Let's answer this question for you.

First of all, let me tell you about the requirements for data. Because the existing object-oriented data of most operators have many problems in quality, integrity and consistency, it needs to be extracted, purified and processed before using these data for data mining.

So what are the requirements of data mining for personnel quality? Statistical data mining and analysis system must be closely linked with practice. In many links of data mining, not only users and analysts are required to have relevant knowledge of data mining, but also a deep understanding of enterprise management processes and industry background. The application cycle of statistical data mining is long, and the knowledge and rules discovered by data mining must be understood and adopted by decision makers in order to transform knowledge into productivity. Through practice, the model and rules generated by data mining are constantly tested and improved, making the model more practical.

At present, with the development of social economy and the deepening of reform, both governments at all levels and the public have higher and higher requirements for statistical work. Therefore, statistical analysis, as an important part of statistical work, must also keep pace with the times and avoid problems such as weak timeliness and pertinence, digital writing and imprecise structure. So how to solve or avoid these similar problems? The specific requirements are as follows.

First, adhere to the principle of seeking truth from facts and give play to the role of statistical analysis. It is very important to adhere to the principle of seeking truth from facts and truthfully reflect the situation. Otherwise, statistical services and statistical supervision will only become empty talk. It is necessary to truthfully reflect the situation. The second is that statistics should be accurate, and statistical analysis is based on statistics. Only with correct statistical data can we draw a realistic conclusion. Third, respect the objective reality, avoid subjective assumptions, have a global view, avoid one-sidedness, and the statistical information should be representative, reflecting the essential characteristics and changes of social and economic movements. The fourth is to closely follow the main theme of social and economic development and highlight the characteristics of the times. Because the main service object of statistical analysis is party and government leaders at all levels, statistical analysis must firmly grasp the mainstream of social and economic development and analyze closely around the central work of the party and the government in concept and content.

Through this article, we introduced the requirements of data mining to you. Data mining is a job that requires high quality of employees. Because of these requirements, data mining has made great progress. Only by meeting these requirements can data mining be done well.