Application And Research Of Data Mining In Human Resources Market

In the past few years, human resources information publishing platform by more and more enterprises and talents of all ages, has gradually become the main tool for recruitment,one of the information release. So the network information shows a rising trend, in the traditional mode, for both strokes, query each other's information through the manual way,which is obviously it is difficult for the growing position, talent needs to provide fast fulfillment.In this paper, the author focuses on data mining in the human resources market in the practical application of this focus to analyze. In data mining, the relationship between talents and positions. Firstly, characteristics of the human resources market is summed up, the existing data mining algorithms are compared and analyzed, on the basis of a decision to use a C4.5 algorithm of decision tree algorithm in the application of the talent market. Changchun job seekers information extraction and pretreatment of the science of the information, and then the results will be provided to the C4.5 algorithm and decision tree and rule, create employment orientation matrix; based on the data mining technology, realize the personalized recommendation using this function. A method, to experience the condition of filtration,similarity calculation, calculation and other aspects. Job seekers tend to analyze all factors of job seekers in existence, so as to determine the recommended post column The table helps job seekers to quickly choose more suitable for their own work.A successful design of feasible methods, the author verified through experiments on the effect of this method, the effect of the comparison of the traditional talent recommendation method. Experimental results show that the application of data mining talent recommendation method, the effect of the performance is the best.