The trend of cross-boundary data mining in large data age

The internet has not only become an important part of modern life, in essence, it is the basic service of modem life, all products and services can complete the precipitation and circulation of information through the network. Along with this is the individual information, we have the keyboard or the mouse each tapping of the message will be in the http://www.aliyun.com/zixun/aggregation/13150.html "" "and the definition of the individual on the network has an accurate correlation. Unlike people, the Internet has no forgetting mechanism, relies on the computer, it has the formidable storage and the record ability. Thus, the user's individual characteristics, geographical location, friends network, personal data, browsing habits, consumer preferences, shopping, credit records, etc. will become the information flow for the various internet companies to explore and analyze.

Network users face Internet companies data collection, analysis to avoid, everyone as long as the existence of the network must be digitized. At the same time, internet companies to the services of the users of information analysis is the company can provide a more intimate service base, only the global Insight users in the user needs when the timely appearance. From this point of view, the most data-settling companies will occupy a more favorable position in the future competition, the data has become a core competitiveness of the Internet competition.

In the past, Internet service providers have paid more attention to the data deposited by the platform, through the data mining in this platform to optimize services, to gain value-added benefits. But in the big data age, the Internet platform to collect data in the cross-border trend. Large data age analysis of the global data, through the relevance of the data to the user, and even to achieve the user is not clear when the need to be able to provide a wide range of users to accept the product or service, which is the reverse product development, is actually a large data point to the direction of research and development. Data that spans different boundaries is more valuable, and it is easy to discern the needs of users in a particular category of services by data mining on a range of behaviors, such as social, media, business, and shopping. In other words, the behavior of the user on the social network can provide a consumer match for the electric quotient, and the user's reading action in the media can provide the design direction for the social product.

One of the most intuitive examples: users may at some point be able to submit their own location information with only one application, if the time is elongated for a year, in a year users through a variety of applications, many times submitted location information, each location is associated with a user's behavior, social, find friends, shopping, catering and so on, An independent position cannot produce enough value, but all these location information and corresponding user behavior data constitute a complete user life path. This global data is difficult to access through independent Internet services, and this type of global data value is very high enough to facilitate the exchange of data between Internet companies.

Previously, the collaboration between different types of Internet companies was designed to achieve cross-selling between products and services, and a further increase in the number of user groups to achieve rapid market growth; now it's probably more about getting global user data.