Study on Detection Model of Similar Scientific Project Based on Big Data Mining
Author(s): LI Shan-qing, ZHAO Hui, SONG Li-rong
Pages: 78-83
Year: 2014 Issue: 2
Journal: Library Tribune
Keyword: big data mining; multi-source information integration; similarity detection for scientific projects; Hadoop architecture;
Abstract: Checking out similar project is very important to avoid repetition in project approval. However, there is no way to find out similar project effectively for the moment. This paper proposes a novel method of detecting scientific projects similitude based on big data mining and multi-source information integration. Using that method,the authors studied the huge data network consisting of the information about the project, published papers, experts and institutions, as well as the keywords; built up a detection model of project similitude by integrating multi-source information;and adopted the Hadoop to speed up big data mining. This paper presents the detection model of project similitude and its key issues; in hope of providing brand-new thinking and methods for detecting similar projects in scientific project management.
Pages: 78-83
Year: 2014 Issue: 2
Journal: Library Tribune
Keyword: big data mining; multi-source information integration; similarity detection for scientific projects; Hadoop architecture;
Abstract: Checking out similar project is very important to avoid repetition in project approval. However, there is no way to find out similar project effectively for the moment. This paper proposes a novel method of detecting scientific projects similitude based on big data mining and multi-source information integration. Using that method,the authors studied the huge data network consisting of the information about the project, published papers, experts and institutions, as well as the keywords; built up a detection model of project similitude by integrating multi-source information;and adopted the Hadoop to speed up big data mining. This paper presents the detection model of project similitude and its key issues; in hope of providing brand-new thinking and methods for detecting similar projects in scientific project management.
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