Study on Detection Model of Similar Scientific Project Based on Big Data Mining
LI Shan-qin · Tushuguan luntan · 2014
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.