"Big Data" forward "secret" back

When you scan a two-dimensional code with a mobile phone and forward it to Twitter, your consumption habits, preferences, and even information about your social circle have been http://www.aliyun.com/zixun/aggregation/14294.html by businesses. "> Large data analysis tools captured, and then they need to do is to use large data to your habits and needs of accurate and large data analysis, mining, presentation and prediction, to provide you with further information and services. Using "clairvoyance" to see through the crowd with a hat to cover the face of criminal suspects, with "invisible hand" dispatching public transport vehicles ... Such a scenario is becoming reality, but the idea is not human, but "Big data algorithms".

Tianjin large Data Technology special "large data algorithm and its application" project recently started in Tianjin University. What is large data? According to the meeting experts, with the development of the Internet, the global data volume exceeds the existing computer hardware and software processing capacity. People will not be able to use conventional software tools to extract, process, analyze the data set called large data in the allowable time. For example, the data stored in hundreds of thousands of cameras in a city for the first one months is big data.

Faced with massive data, relying solely on human resources is difficult to complete analysis, and large data technology can be from a large number of data collection to find valuable data and knowledge, such as for businesses to explore consumer habits, help doctors timely detection of patients body changes and so on.

Large data technology allows computer systems to have the ability to "recognize"-as long as the need to "remember" the object of the image and video input system, the system can be identified in the crowd which is it has "seen" the person. This "tracing" ability is like a police dog, as long as the dog is familiar with the smell of the person or thing in advance, it can help the human to find the target.

The "Face recognition system" developed by Tianjin University team employs an efficient and highly accurate face recognition algorithm, which still has a high rate of recognition even if the illumination conditions of the particular object are changed, or the face is blocked and background interference. The system can also be based on the data entered in advance to assist the police in a large number of surveillance video to quickly find the whereabouts of suspects, greatly improve the efficiency of handling cases, reduce labor costs.

A team of experts said the team is developing "human behavior recognition systems", building identification models, in the near future, ATMs will be expected to intelligently identify malicious teller to destroy machine equipment violence, and alarm.

Face recognition systems are widely used in all walks of life. For example, a building advertising screen can intelligently analyze the gender and age of the clients in front of them, so that accurate advertising can be played, and those who do not meet the requirements may be alerted by electronic monitoring when they enter the company's gates; the family has a face recognition system to tell whether the person at the door is a master or a stranger. Big data isn't far away--by analyzing your online spending habits, you know when you have a pet, when you have your own house, when you decorate, when you have a baby, how much milk money you spend. In fact, every E-commerce site you visit is based on your consumption record, "calculates" your detailed consumption habits and time slots. You may not have figured out what big data is, but in fact, you've been surrounded by it.