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Data Mining Technology and Its Application of vocational education.doc

Data Mining Technology and Its Application of vocational education.doc

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Data Mining Technology and Its Application of vocational education

Data Mining Technology and Its Application of vocational education Abstract: This article discusses the concept of data mining, classification, functions and major processes of analysis of data mining technology for vocational education possibilities. Keywords: data mining; vocational education; Education Information Currently, computer technology has penetrated into all aspects of social life, the teaching of vocational education also had a significant impact. With the advancement of educational information process, producing a large number of complex data, the face of such enormous data resources, how to more fully and more effectively to use? Data mining (Data Mining, DM) technology in vocational education can be obtained from a large number of education data in discovering hidden and useful knowledge to guide education, development education and improve vocational education in the teaching effect, thus effectively improve the vocational school students in professional and cultural qualities. Data Mining Technology With the rapid development of information technology and database technology, widely used, it is more and more data accumulated, but the data source contains the knowledge has not been fully excavated and the use of ‘data rich, knowledge poor’ in question is very seriously. The people urgently need a new technology resources of these vast amounts of data into useful knowledge, to help people to carry out a variety of scientific decision-making. Faced with this challenge, data mining techniques have emerged, and gradually shows its strong vitality. (A) The concept of data mining Data mining is a set of statistics, artificial intelligence, pattern recognition, parallel computing, machine learning, database technology in one cross-discipline field of study. Data mining is a knowledge discovery from data in the process. Data mining is from a large number of, incomplete, and there is noise, and vague, the practical application of random data,

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