What aspects of data mining on mobile Internet can be studied?

Well, the mobile Internet is a huge field, and the essence of data mining is the general name of algorithms, tools and even ideas for obtaining information from massive data. So what aspects of data mining in the mobile Internet can be studied, or what can data mining do in the mobile Internet? The possible types are equal to the combination of data-information requirements-tool algorithms, and there are too many. For example:

APP download and uninstall data can be used to study the structure and trend of the application market, the quality of products or the role of marketing.

APP usage data can be used to study people's mobile phone application preferences, product usage combinations and characteristics.

LBS data can track users' whereabouts, study different people's life trajectories and classify features.

All kinds of business research, all kinds of beautiful business intelligence analysis and so on. , you can list many. ...

1. Which websites do users like to use on their mobile phones, which apps do they use, and how much time and times do they spend every day?

2. Frequency, time and crowd distribution of daily phone calls and text messages?

In this way, we can infer the key data such as gender, age, occupation and hobbies of users, so as to make accurate advertisements. App data is at the forefront in China, and I am very optimistic about the future of this product. Uc web and qq browser should also collect a lot of data, which is very promising. At present, only operators have private data such as telephone calls and text messages. If you are a data mining operator, you can pay attention to this data.