Don't use "big data" to trick a senior candidate

This year after the completion of the college entrance examination, in the assessment and volunteer stage, there have been many "large data" analysis for the name of the examination software. There are http://www.aliyun.com/zixun/aggregation/31646.html "> media reports, as long as the use of mobile phone software download, over the years, the provincial admission score, the University of different professional annual acceptance rate, all can be found. Some software also claims to be able to predict the "size of the year", or even according to your score, directly recommend which school you should apply for which major; and some software claims to be able to directly give the professional employment situation analysis.

Clearly, these software are based on previous years of data forecasts. In the case of the college entrance examination score has not been published, the previous data analysis, it is not, but if blindly rely on these software to fill out the volunteer, it is not very scientific. It can be speculated that the prediction of voluntary filling situation will inevitably affect the choice of participants, in turn, the response of the participants to the prediction will inevitably affect the future results, this game result may make the prediction deviation more and more big.

In addition, the Admission plan and admission criteria will be adjusted with the number of candidates in the policy, a school enrollment professional will be based on the number of candidates to adjust, this is not calculated to predict, need candidates and parents to the school admissions department counseling.

Of course, there are some skills to apply for volunteering in addition to grades. Based on experience and analysis, as well as some of the candidates ' hobbies, personality characteristics, knowledge and skills, give some suggestions and guidance for the professional candidates, which is beneficial to the examinee. But in various media reports, many college admissions staff remind candidates, can not be based on these software to fill out the volunteer.

This year's college entrance examination to "large data" as the name of the software forecast not only appeared after the test, but also before the test. For example, Baidu forecast composition of the college entrance examination, will be divided into six categories of composition, and predict each type of probability, there are some keywords in each category, each keyword has a corresponding example of composition, candidates click on these sample keywords, you can search the relevant fan and material.

However, a little analysis of such software will find that the prediction of the dozens of key words of the college entrance examination, the scope is very wide, covering almost all aspects, its actual value is negligible. Every year after the college entrance examination, there will be a training school to predict the university entrance examination questions, predicting the effectiveness of the software in fact, and this kind of school publicity stunt similar.

Whether the college entrance examination composition or the application software, these are based on data integration and analysis, the past statistical methods labeled "Big Data" in the name of the prediction. Of course, data analysis, mining, hot word search is a "big data" application and to the life of a manifestation of infiltration, and some colleges and universities for the trend, hot and cold door professional changes, with a certain degree of objectivity, not just as simple as digital statistics. "Big Data" is a sign of software, but it is packaged in a fashionable scientific vocabulary to make a profit.

The "Big data" itself and its uses have not been questioned, biology, medicine, astronomy, environment, physics, engineering, economics, the Internet and many other fields have begun to appear based on the use of data research, especially in traffic management, urban distribution, municipal facilities and other government social management many aspects of the use of a lot of data thinking has been more and more attention, But data analysis is not omnipotent and can be applied everywhere. Many scholars pointed out that the "big data" in the academic world overheated, obviously have the flavor of speculation, do not say "big data" the essence and theoretical way, that "big data" definition has not yet unified concept. For now, it is not surprising that "big data" has been overheated and used in commercial packaging.

Through the enrollment number of college entrance examination, the overall analysis of the distribution of scores and the ambition of applying for an examination will benefit the adjustment of the professional setting of colleges and universities, and even the adjustment of some policies, but we should be vigilant if we use the banner of "Big Data" to carry out various forecasts in the guise of economic interests.