How did the epidemic investigation phone know that you checked into the hotel?

The epidemic is supported by big data, and you can also find out where you have been through the four major mobile operators according to the phone number.

Big data comes from data generated at any time. General location information can be determined by the base station connected to the mobile phone data. Through the confirmation and comparison of item information; The analysis of social communication information can roughly draw our itinerary in a certain period of time. Because the signal of our mobile phone comes from the base station, there are different operators' base stations in each area, and they will be connected to the base station when passing through a place or staying for a long time.

The arrival of the era of big data means that it is easier to obtain information, but at the same time, it is increasingly difficult to obtain information that truly meets individual needs in big data. Users are often submerged in massive data, and it is difficult to find information that is really valuable to them. Although the continuous progress of search technology enables us to quickly find the information we need through search engines, it is difficult to dig and analyze the deep-seated needs of users only by relying on search engines.

After several years of development, big data analysis technology has formed some mature and stable model algorithms. Common model algorithms include association rule analysis (Apriori), decision tree, neural network, K-MEANS clustering, support vector machine, multiple linear regression, generalized linear regression, Bayesian network, Cox and K nearest neighbor. Some of these algorithm models are suitable for forecasting trends and behaviors, some are suitable for correlation analysis, and some are suitable for cluster analysis. Each model algorithm has its own advantages and disadvantages, and we can choose the appropriate algorithm model for different scenarios of big data analysis and mining.