Large data author: Make Big data to start from small data

The wave of data surges, Moore's law, pervasive computing, data mining, social media is strongly affecting our lives, in the "Big Data" in the real situation, the choice of personal behavior frame of reference? What opportunities and challenges do "big data" bring to public administration and business innovation? How "Big Data" landed in China? In view of the above proposition, in Sunday, the first financial and leisure reading will join hands with the Guangxi Normal University Press • The ideal country, with the guest "Big Data" author Shiji, baggy data President Li Changqing at Fudan University around the "visible future" of the proposition to discuss.

"Big Data" tells us more than half a century of information opening, technological innovation history. Shiji that Moore's law and pervasive computing will create an era of more equal opportunities and more information. As Popper puts it, an open society means that people make decisions based on their own intellect and mastery. He believes that if a society lacks imagination in good public life, it is because the public in this society is low, not technically, but in values, "if you cannot understand that love and sharing are the most important things in life, then it is difficult for you to really understand the importance of information exchange and sharing for a society." ”

And how do you define "big data"? Shiji stressed the need to clarify two concepts in understanding: first of all, to talk about "big data" should return to the two dimensions of information openness and data opening, information disclosure is the concept of "right to know", but the Open data is not only the right to know; On the other hand, "big data" should not just be understood as the capacity to store data, It is the problem of mining data and computational power, which means that a lot of information is analyzed by calculator, which reveals the relation, pattern and trend of data.

Yue reading: Data opening is a multi-party game process, placed in the context of China, where is the breakthrough? At the same time, the game needs all aspects of compromise, what is the line of compromise?

Shiji: The most important condition to push forward the history is openness, but all governments have a nature, hope you know less information the better, this requires the community to form a collective voice, we all recognize the right to know when the problem, can form the pressure of supervision. When you have a sense of social responsibility, the balance of interest is likely to change only when you make your own voice when someone encounters a problem. I quote in the book: "It is not the government's responsibility to prevent citizens from making mistakes, but it is the responsibility of every citizen to prevent the government from making mistakes", and you need to make a sound. The indifference or omission of Chinese society is not a sound. The breakthrough or the growth of civic consciousness, we all have the civic consciousness, the right consciousness, we all need to know, American society's openness is a long process.

Society as a whole needs a mechanism to express its interests, at the same time we need a rational struggle, need to compromise, the line is non-violent, the development of the whole society needs in a win-lose situation, the balance of interests can not always be fair, everyone has made a sound, may not take care of your voice, but you need to continue to make their own voice , the balance of interests may change, this is the process of continuous adjustment, history is the development of this.

Li Changqing: Now, China is gradually opening up data, the government is gradually opening up the data, but some professional companies need to make this data readable, I think the data mining this piece, the data is open, and ultimately need to allow individuals to interpret, which may require us to do more work.

Yue read: A large number of data emerged, there are many unstructured data, in the data semantic mining, there is no better way?

Li Changqing: More and more varieties of financial data, there are many unstructured data, a lot of text, online messages can be used as data companies to extract data sources, our mining methods collectively referred to as large data technology, this concept proposed very early, but also need to be able to really landed. Alibaba can come up with a specific data, all trade data show that a period of time last year, the decline is very strong, this data can predict the economic situation, through data mining to form a data report, it will produce great value. A lot of data can be used for semantic mining, but most people can't use it, and need professional data company to deal with it accurately.

Shiji: More and more video data, now the difficulty of semantic analysis, not only digital mining, but also includes video mining, image mining. For example, what an economist has now published, we need to quickly dig through his previous views and videos of his presence, which are now available in many areas. If, for example, all the films that have been made of roses in the lens, can you find it all at once? These semantic excavations are showing increasing importance.

Reader: What is the future of the big data industry? Which industry is more promising in our country?

Shiji: The problem facing China is that big data is hard to come by. First, one reason is the lack of the internal drive for data use, for example, telecoms has so much data, but it has no driving force to analyze the data. It has a lot of areas to make money, why do you have to analyze the data? But if it needs to face the full market competition, need it to the competition to be more refined, nature will be data mining. Which field is more likely to fall? Many areas, such as climate, climate data is very large, the real mass of data, as well as traffic data, but also very large data, each camera generated data, after analysis and use of wealth. While big data is hard to land in China, it is a future trend.

Li Changqing: The industry condition that produces big data is that it needs to accumulate a lot of data, some people think that in China only big Internet company can enlarge the data, this view I disagree with very much. But in turn, it may be reasonable to say that China's big internet companies are doing big data, which I agree, because on the one hand because they have accumulated a lot of user transaction data, it is possible to extend more use, the emergence of new business opportunities. As far as China is concerned, the current development of a good industry, but also to support my view, such as the positioning system of the industry, one of its data volume, high accuracy, and then one of its relationship with your life is higher, such industries business opportunities will be better. Another financial data industry that I'm engaged in, I am also very optimistic about the financial industry, the volume of data is very large, the data produced by the various financial institutions are the object of our analysis, and we also need to pay attention to the external evaluation of them, all kinds of news, all kinds of news, are our basic data, these data mining, use well, Data appreciation space can be very large. Therefore, the large amount of data, the close relationship with life, data mining and structure of the more reasonable, may be a good business opportunities.

Reader: How can we change the way we think to push big data to the ground in China?

Shiji: Still want to change thinking inertia, pay attention to data, in China big data to start from small data. Why is big data so important to China? I think its special significance to Chinese society is not only a wave of technology, but also the Chinese society to improve the understanding of the data, we need to use data to speak, become a tool to prove their own. The spirit of the data in the final analysis is the spirit of rationality, the data is ultimately an objective reflection of the world, the Chinese society lacks this spirit, reading and analyzing data should be a very basic part of a person's knowledge structure.

(Responsible editor: The good of the Legacy)