Download Advances in Computer Science and Engineering by Shi Ronghui, Guo Xiaojing, Yao Yang (auth.), Dehuai Zeng PDF

By Shi Ronghui, Guo Xiaojing, Yao Yang (auth.), Dehuai Zeng (eds.)

This ebook contains the complaints of the second one overseas convention on Advances in laptop technological know-how and Engineering (CES 2012), which used to be held in the course of January 13-14, 2012 in Sanya, China. The papers in those lawsuits of CES 2012 specialize in the researchers’ complex works of their fields of machine technological know-how and Engineering in most cases prepared in 4 themes, (1) software program Engineering, (2) clever Computing, (3) computing device Networks, and (4) man made Intelligence software program.

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The talents training program has been improved in rigidity, inflexibility and inadaptation to the business requirements, and the conflicts between student internship and production schedule or task allocation of enterprises are also solved. , Ltd. would not be completed as scheduled, and the Institute was requested to assign students to Jiangxi Ganzhou to assist in completing the 1:500 cadastral map. Upon request, a timely adjustment of teaching plan was made, and four teachers and a class of students were assigned to assist the Company in completing the project mapping and enabled the enterprise to deliver the project on schedule smoothly.

The scientific research provides internal driving force for the industry, while industry provides material guarantee for scientific research. The combination of production, education and research expand the functions of the university, emphasize the real purpose and practicality of personnel training and scientific research, and improve the conversion rate of research fruits. Production, study and research base become the scientific technology innovation platform in real sense, the place for students to carry out entrepreneurial training and the incubator of entities at various levels.

Due to finding good relations between several courses, so the filed up to 75 points is set “TRUE”, it shows this item is in the transaction. The others set “FALSE”, it shows this item isn’t in the transaction. Turn Table 1 into the style which is easy to be handled with association rules, in Table2. 24 X. Li Table 2. Processed data To mine association rules in good courses in Table 2, this experiment in Table 2 set the minimum support is 20%, the confidence is 50%. The 180 records in Table 2 as Apriori mining association rules data, using the improved Apriori algorithm, obtain results in Table 3.

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