Data Mining Classification Techniques Application And Research In The Recruitment Of Enterprise

Data mining technology is the use of analysis tools from the noisy, fuzzy, and a large number of random data, the extracted implicit in the internal, the unknown, another potential role of knowledge and information processes,the establishment of the relational model, and its forecasts.Category Mining is one of the core technology of data mining and classification techniques in the decision tree method is one of the key. He was able to directly reflect the characteristics of the data, with very good predictive power of classification can be easily extracted decision rules.Currently there are several decision tree method can classify large data sets, of which the most classic ID3 algorithm.ID3 algorithm is based on information gain criteria for the selection of splitting the property to build a decision tree, can be a good solution to the problem of discrete attributes.Talent recruitment problem is the core of corporate human resources and one of its priorities for improving the quality of corporate human resources, improve enterprise competitiveness in a market economy has very important significance. As currently too many graduates, businesses can not conduct interviews for each student, and therefore there is how their own businesses graduates select the appropriate issue. This article describes the data mining techniques, and classification technology, the concept of algorithm discussed in this paper analyzed the decision tree classification algorithm, discusses in detail the classification algorithm applied in the enterprise personnel recruiting throughout the process. Including the sample data collection, data preparation, ID3 algorithms, root identification and, ultimately, the decision tree building.The final adoption of the decision tree classification model derived a general rule, these rules can be played on the corporate recruitment guide to select the most suitable talent that part of the business. This paper is based on Qingdao Sanshuo company's information, using data mining technology to its database of talents in some of the data analysis, make predictions, in order to recruit qualified personnel to provide technical support.