In recent years, the rapid pace of information technology to promote the http://www.aliyun.com/zixun/aggregation/13584.html "> massive data, a magnificent wave of large data swept the various fields of human society, Some popular swallowed the superficial knowledge of the false see also spread. Currently, for example, the three main points in the Big Data age, written by Victor and others, are often cited and become popular. Not only does this not reveal the true nature of the big data age, but it will lead to serious misdirection.
The big data age suggests that the big data age is "not causation, but relationships", which suggests that the authors do not understand that causality is a correlation. In the 18th century, British skeptic Hume had long pointed out that "not only does our reason not help us to discover the final link between causes and results, but experience has shown us that after their constant union, we cannot convince ourselves by our own reason why we have extended that experience beyond what we have observed in those special things. In Hume's view, "causal relationship" is not the nature of nature, but because of the psychological habits and human nature we have formed. Engels gave a critical sublation from the standpoint of dialectical materialism, he pointed out that "the reason and the result of these two concepts, only in the application of individual occasions to have its original meaning, ..." "to understand all the processes of the world's ' own movement ', the development and vigorous life, It is necessary to recognize these processes as the unity of opposites. The big Data age will be a new concept in the age of large data, which is not only old but also wrong, as the old idea that Hume has already put forward for centuries.
The big Data age argues that the big data age is "not a random sample but a total data", and that things are no longer part of a random sampling, but from all data. In fact, it is impossible for man to exhaust all things in a limited time. If we compare the present large data method with the sampling method in the past, we can only say that the large data age can use more accurate and comprehensive data to trace and analyze simulation reality with larger factors, and obtain more accurate results than before. However, compared with the whole, we have realized that there will always be a small number of errors, errors can not be completely eliminated.
The big data age points out that the big data age is "not precision, but hybrid", meaning that the small data age precision, the big data era because of the mastery of a large number of data and no longer adhere to the accuracy, can be more vague action. This is clearly wrong. Because the past methods can master accurate small data, but most of the data will be due to the limited processing capacity is omitted, discarded, the results of the realization of nature can not be accurate, comprehensive. In the age of large data, because we have more comprehensive data, we can know things in a larger time and space, so we can be more accurate and quantifiable, so that we can get a more accurate understanding of the intermediate fuzzy regions of some phenomena, and the accuracy and fuzziness and the error are more precise and quantified.
I have predicted that "information is the gift of God for China's rise," because China's population is the world's largest, the information industry market, the most opportunities to develop information, large data and intelligent industries. The big data is now being popularized quickly and happily. However, at present, China has a very serious phenomenon of blindly follow foreign countries, blindly with foreigners. We must not blindly follow foreign countries and the gift of God sent to others!
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.