If the notion of big data had previously been the ruler of the digital world, then, in the 2014 World Cup in Brazil, its bright appearance, has been effectively created a super realist noun: the Germans are the first to apply large data to football training and games, through equipment sensing to the players running, Capture and analyze data such as passing, and use "numbers and facts" to optimize the program and improve the team's performance. The German team's record shows that big data is no longer a Emily of the "Octopus Paul" prophecy, but a series of successful Tiek with large data to support the results. The World Cup is over. But big data forecasts will continue-from night to day to weather forecasts, from crystal balls in fairy tales to today's tech prophets, from the legends of the quake clouds to the predictions of scientists ' heightened concern-that humans have long wanted to break through the limits of the future. With the deepening of the information revolution, the prediction of large data times is easier, cloud computing, cloud storage is no longer the patent of the virtual world, human life is being greatly predicted by large data changes.
The application of large data is more and more extensive, through the accumulation of massive user behavior data, on the basis of screening and analysis, can achieve accurate data analysis, directional service and other functions. Predictive analysis is the core value and function of large data. The logic of large data prediction is that every unconventional change must have a sign beforehand, everything is traceable, and if the law between the sign and the change is found, it can be predicted. Large data predictions are not sure that something is necessarily going to happen, it is more of a rational probability. This has made it known that a large data age and the accompanying large data culture have been eagerly airborne in real life.
In fact, in the 1991 Hollywood blockbuster "Terminator 2-day", let people feel the huge amount of data of the terrible supercomputer: "Skynet" control of the robot to wage war against mankind. This kind of "alienation" of vigilance and reflection, let us witness a "digital destruction entity" of the bloody war. Of course, no scientist or leader wants to appear in the "Terminator" of the terrible scene, they will always firmly grasp the control of the weapons system, must not let them like the Terminator's "boss" Skynet, as the killing of human crazy machine. The big data in the American blockbuster "Die 4" starring Willis again shows incredible power: criminals use supercomputers to control U.S. traffic, banking, electricity and gas, and the country's fortunes seem to hang between the fingers and the keyboard, and the "human search" around us, This also implies that the large data is a double-edged sword, it has been the traditional sense of wealth, force of the construction of the right to speak, quietly evolved into a powerful digital discourse.
March 29, 2014, the United States government announced the "Big Data Research and Development Initiative" program to promote the ability to acquire knowledge and insights from a large and complex collection of data. The initiative covers 6 departments of the federal Government (the National Science Foundation, the National Institutes of Health, the Department of Energy, the United States Department of Defense, the U.S. Department of Defense Advanced Research Program, the United States Geological Survey, 6 departments). These sectors pledged to invest in a total of more than 200 million dollars to vigorously promote and improve the collection, organization and analysis tools and technologies associated with large data. The initiative also revealed a number of ongoing big data plans for various federal government departments.
In the past, developed countries have used similar methods in the field of information research and development in the fields of supercomputing and Internet, and the United States Government's initiative today promises a breakthrough in the use of large data in scientific discoveries, environmental protection and biomedical research, education, and national security. However, the data visualization of large data and the function of large data mining can be used to excavate the information value that has occurred and assist decision-making. The traditional data analysis and mining are doing similar things, but the efficiency is lower or the depth, breadth and precision of mining are not enough. Large data prediction is based on large data and predictive models to predict the probability of something in the future, so that the analysis from "Facing the past" to "facing the upcoming future", which shows large data and traditional data analysis of the biggest difference.
Academics are acutely aware that there are many areas outside the weather forecast that are big data predictions. For example, sports events, stock market, market price, user behavior prediction, health prediction, disease forecast, traffic behavior prediction and so on, large data prediction can also be used in real estate forecasts, employment forecasts, college entrance examination scores, election results forecast, Nobel Prize prediction, etc. The ability of rationalism to have quantifiable and verifiable insights into the future is opening an era through large data.
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