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| Application of Improved TFIDF Algorithm in Mining Potential Cooperation Relationship |
| Sun Hongfei, Hou Wei |
| School of Economics and Management, Northeast Dianli University, Jilin 132012, China |
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Abstract [Objective] In order to remedy the defects of traditional methods in the mining potential cooperation relationship, improve the potential mining effect. [Methods] The paper proposes the improved TFIDF algorithm and applies to the potential cooperation relationship mining based on the analysis of the flaw and the insufficiency of simple calculation method, minimum value calculation method and the traditional TFIDF algorithm. [Results] The simple calculation method and the minimum value calculation method are greatly influenced by authors productivity, traditional TFIDF algorithm result is difficult to achieve the conversion from potential cooperation relationship for practical cooperation, and improved TFIDF algorithm shows very prominent based on regarding the applying research methods of information science field in 19 kinds of journals of Library and Information Science in "Chinese Core Journal of Peking University Directory (2012 Edition)" in recent 5 years as sample data. [Limitations] The improved TFIDF algorithm does not consider the influence between author ranking orders of potential cooperation. [Conclusions] The results show that the improved TFIDF algorithm is more scientific, has more advantages and better practical value than other traditional methods, through comparing and evaluating four data mining results.
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Received: 10 April 2014
Published: 28 November 2014
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