It is defined as a group of logically connected databases distributed on the computer network. Distributed database is the product of the combination of database technology and network technology, which has formed a branch in the field of database.

Data mining technology refers to the extraction of hidden, unknown but potentially useful information and knowledge from a large number of, incomplete, noisy, fuzzy and random data.

In the era of big data, data mining, as the most commonly used means of data analysis, has been recognized in various fields. at present, domestic and foreign scholars mainly study the application of data mining technologies in many fields, such as classification, optimization, identification, prediction and so on.

With the progress of the times and the rapid development of science and technology, as a country with a large population, China's public data in health care and aging society are growing geometrically. The value problem attached to the mining data based on big data needs to be solved urgently. The structure, scale, scope and complexity of health medical data are constantly expanding, and the traditional calculation methods can not fully satisfy the analysis of medical data. Data mining technology can classify health medical data according to some characteristics of medical data: pattern polymorphism, missing information (missing value caused by personal privacy issues), timing and redundancy. Thus, it can provide accurate assistant decision-making for doctors or patients.

At the same time, China is accelerating to enter an aging society, and the Internet is an important medium to improve the aging society, and big data is an important technical means to evaluate the aging society. Qu Fang and others put forward the way to realize the pension of "Internet + big data" mode. the whole pension service system is based on multivariate heterogeneous information aggregation and data fusion mining, and the pension system of "Internet + and big data" integrates a variety of information and communication technologies, including communication technology, data mining technology and artificial intelligence technology.

With the development of science and technology, online shopping is becoming more and more popular, which brings problems such as logistics and transportation congestion and paralysis. JD.com, one of the largest online trading platforms in China, in the era of artificial intelligence optimization, uses drones to detect road status feedback data, and uses data mining technology to accurately calculate the parameters needed for logistics network transportation. It can easily and efficiently alleviate the problem of logistics transport paralysis, resulting in China's first robot courier to deliver the first goods to Renmin University of China. With the increase of the length and complexity of the traffic network in the future, the difficulty of realizing the automatic strategy of self-driving increases greatly, and the result can be calculated quickly only through data mining technology. in order to obtain the efficient value generated from the complex road information.

In view of the insecurity of user name and password in the current electronic tax declaration system, Sha Yaqing proposed an identity authentication scheme based on smart card and fingerprint identification, and combined with fingerprint technology to construct new password parameters. as a result, the security is improved obviously. With the continuous development of data mining technology, big data will be more and more accurate in recognizing people's faces and fingerprints.

Prediction problem is the most studied problem in various fields, and its purpose is to predict the future data value or development trend through historical data. Most of the historical data are time series data, that is, they are arranged in chronological order, and a series of observations are obtained. Due to the continuous progress of information technology, the data of time series are also increasing day by day, such as weather forecast, oil exploration, finance and so on. The ultimate goal of time series data mining is to predict the change trend and its impact in the future by analyzing the historical data of time series.

A data set whose scale is so large that it greatly exceeds the capabilities of traditional database software tools in terms of acquisition, storage, management and analysis. it has four characteristics: massive data scale, rapid data flow, diverse data types and low value density.