Research Of College Students' Job Market Information Data Mining Based On Grey Theory

With developing of job market, the job market becomes more and more huge,there are mass of job market information be stored. There are so many knowledgeand latent principle be included. To analysis the job market information, theresearch results are very valuable to employee and employer.This thesis introduces the definition, functions, usual technologies ofdata mining, and also introduces the grey theory and the major methods of greytheory. Based on the data of job market, by the grey theory the thesis analysisthe data of job market from 2003 to 2005, the thesis sets a students' jobinformation model, and a students' job information grey relative-degree model.The thesis sets models and processes to calculate the grey relative-degreeof Boolean data and consecutive data. The thesis designs and programs thecollege students' job information analysis system. The thesis founds thecertification index, honor index, found a method to calculate the index ofcertified and honor. Found the index of employ, found a method to calculatethe index of employ on one attribute based the clustering theory.By the models of calculate the grey relative-degree for Boolean data andconsecutive data, we get the grey relative-degree sequence of some factors,the descending grey relative-degree sequence is achievement, certifications,honors, sex, region and cet-4.