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The Application Of The Data Mining Skill On The Job-hunting Directions And Graduate-teaching Reformation

Posted on:2009-04-17Degree:MasterType:Thesis
Country:ChinaCandidate:J G XiaoFull Text:PDF
GTID:2178360272976643Subject:Computer software and theory
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With the unceasing development of the database technology and the database management system's widespread application, the data quantity which saves in the database is also suddenly increasing, There are many significance and the policy-making information hid behind these mass data's. But, nowadays the majority applications of the database still paused at the inquiry and the retrieval stage, the rich knowledge hides in the database has not obtained the full and far excavation and the application, the rapid increasing of the data in the database have formed the striking contrast to the handling and the understanding difficulty of the database by people, it causes the phenomenon about"the people submergence by the data, but actually deficient in knowledge". Similarly, running a school which under the market economy system faces the test, how the educating of the university should develop? How to run a school? At present how about the demand to teachers in the education market? Actually what kind of competition strength about our graduate? And we should have to be able to find our own employment accurately and fast in this employment competition? Under the situation of the competition tends the superheating austere in the information and other various aspects time, Every educators has the responsibility and the necessity to answer these questions earnestly.Data mining's involvement in the graduate teaching employment is an important measure in the educational system reform in the new period and also an illustration of the development of the society. Data mining is a young but promise field of research, with the continuant strongly driving power driving to go. It specialized in the analysis, comprehension and discovery of the data, becoming one of the goals in the application of information technology. Through decades of effort, data mining derived many new concepts and methods especially recently, with more clear trend of basic definition and methods, it developed towards the health prospect. The same as the developing experiences of other new technology data mining has to go through the period of birth, acceptance, extensive researches, keep exploring and heavy application. From the current situation most scholars think that the data mining needs a more extensive research and exploratory, with a urgent formal education, application mode ,system structure and correspondent method and language. Faced with a large data of employment, we need to improve the availability and the accuracy of the data.We have a broad and deep research of the new Data Mining method and model that came into being every year increasingly. But Data Mining technique that lies in the stage of development and has its limitation is just one kind of employment modernization manners, we understood connotation deeply, master skill and serve us better. I focus on solving all kinds of data analysis problems appeared in employment to promote the development of science and information of employment. At the basis of employment experiences, I make use of existing employment data sufficiently including employment status, enrolment rate, the proportion of Sector Selection and the proportion of area distribution of different major's graduates, and makes analysis by synthesis for employment situation through transverse comparison with other schools and longitudinal comparison to find out employment discipline, and try to realize Data Mining technique's theoretical guides for employment efficiently through summarizing the records of all previous business conferences and the information of employing units, and finished the exploration of that Data Mining technique have application in theoretical level of employment, including the primary application of Data Mining technique in the construction of employment website, the analysis of employment market situation, the information integration of supply and demand, the forecast of major's foreground, market inspection and so on. From specifically applicable cases, we did the primary exploration aiming at the forms of this technique in the field of employment.This issue comes from the actual needs of the work, I have been employment in the front line in recent years. Jilin Normal University student employment is the department of our university's work that in charge of employment, not only bear the task of the whole information about the management, but also assume the tasks of the work arduous market and the tasks have great importance and significance. At the end of each year the information must be integrated and published, the management of graduates information , the employment plan begins to design, implement, sum up, and the career guidance of some graduates and so on. On this basis, I am profoundly aware of the necessary of the reformation about the employment and find a feasibility path to promote the work of information technology, scientific and standardized, although they have not quite comprehensive, but I believe that the work will be continued to deepen, the value of this subject will be fully apparent in the future . With the development of computing power and the improvement of the business complexity, the type of data will be more and more or more complex, data mining techniques in the field of employment will be more widely used, I will be pay more attention and further discussion in the theory of technology Development and application of the relevant forms.In addition through expounding practical application of data dig technology in job hunting and helping the leader to erect healthy digital idea, which will be important evidence for job department of the schools making scientific job strategy, through data dig technology improving utilization ratio of the resource of information and the quality of job guide to realize the connection between information technology and social practice, then quoting relevant theory and experiences of marketing sale.
Keywords/Search Tags:Data Mining skill, Job-hunting market, Employment data, Statistics analysis
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