Traditional Culture Encyclopedia - Hotel franchise - The application scope of "big data" has expanded, and it can actually eliminate pornography. What behaviors will be targeted by big data?

The application scope of "big data" has expanded, and it can actually eliminate pornography. What behaviors will be targeted by big data?

Big data anti-vice is to monitor everyone's habits through big data to judge whether to participate in prostitution. For example, your hotel "accidentally found some small cards" and then contacted a door-to-door service. If the other party is a policeman who has been engaged in this work for a long time, he must have a criminal record. At this time, when you contact the other party, you may be monitored by big data, plus the mobile phone payment at the back. At this time, it is possible to be monitored for prostitution.

If women are between the ages of 20 and 35 and have no fixed jobs, there are two behaviors that will be targeted by big data. But every day, WeChat always collects money between 10 and 4 am, and the collection place is always in high-end hotels or high-end communities. At this time, the system will give her a mark and list her as a suspicious person. Everyone who has a transfer record with her WeChat will also be included in the monitoring list.

If someone gives money to this woman every time, at the same time, this person will also give money to other women with similar characteristics. And this woman will receive almost the same amount of money from different men every day, then this woman can be regarded as mommy, and these men who pay mommy will also be marked.

In any of the following three situations, big data will focus on your first point, those accounts that still have active transactions from 1 1 afternoon to 3 am.

Second, if the transaction amount meets similar characteristics, such as 298 and 398, then the transaction is classified as a possible pornographic transaction.

Third, a merchant has a large number of transactions in a month, and more than 60% of the transactions meet the above characteristics, so no matter whether the merchant is called a beauty salon or a seafood wholesale, there is a high probability that the merchant is involved in pornography.

Conclusion In the era of big data, no matter how you hide it, you can interpret it through data analysis. So how can we avoid being swept away by big data? In short, if others don't know, unless you do something, as long as you don't do bad things, the police uncle won't bother you.