As Plato said, necessity is the mother of invention. With the continuous progress of the information age, a large amount of data has accumulated over time. We urgently need a tool to meet the demand of discovering knowledge from data! Data mining came into being. As the book says: Data mining has made and will continue to make contributions to our progress from the data age to the information age.

The more correct name of data mining should be "mining knowledge from data", but the latter is too long.

Data mining-the process of mining interesting patterns and knowledge from a large amount of data. As a knowledge discovery process, it usually includes six steps: data processing, data integration, data transformation, pattern discovery, pattern evaluation and knowledge representation.

Data mining will process more data, the mining mode will be interesting, the technology will be used in large quantities, and the application scope will be unprecedented. And heavy data mining tasks have always coexisted. These problems will continue to stimulate the further research and improvement of data mining.

Regarding the related learning of data mining, we recommend the related courses of CDA data division. The course content takes into account the cultivation of horizontal ability to solve data mining process problems and vertical ability to solve data mining algorithm problems. Students are required to think from the root of data governance, explore business problems through digital working methods, and then select business process optimization tools or algorithm tools through proximate cause analysis and macro root analysis, instead of "adjusting algorithm packages when encountering problems", and click to make an appointment for a free audition class.