Inspiration Discovery Based on Related Domains

摘要：

For academic scientists, it is not satisfy to meet their researches requirements only finding out the basic scientific research activities recent years. The future of research in this field, evolution of the hot spot and the research front of relevant fields has the same Ref. value for current field researching. To solve these problems, we use inspiration discovery method by mining and clustering analysis the hidden information of related literatures from the particular research areas’ classic journals and highranking conferences with a designed visual interface. The experiment results show the proposed method, on average, improved the detection precision to 92.86% and reduced false alarm rate of discussed candidate outliers to 0.0074%. Findings showed the proposed method could provide with valid depictions of future research cross different domains.

作者: Shi-lei SUN Lin ZENG Yun-lu ZHANG Ding-wen WANG

作者单位: Institute of Microelectronics and Information Technology, Wuhan University School of Electronic Information, Wuhan University School of Computer, Wuhan University

会议类型: 国际会议

会议名称: 2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management(2011 IEEE 第十八届工业工程与工程管理国际会议 IEEM2011)

会议地点: 长春

会议语种:英文

页码: 1883-1886

在线出版日期: 2011-09-03（万方平台首次上网日期，不代表论文的发表时间）