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  • 标题:A process for mining science & technology documents databases, illustrated for the case of "knowledge discovery and data mining"
  • 本地全文:下载
  • 作者:Donghua Zhu ; Alan Porter ; Scott Cunningham
  • 期刊名称:Ciência da Informação
  • 印刷版ISSN:0100-1965
  • 电子版ISSN:1518-8353
  • 出版年度:1999
  • 卷号:28
  • 期号:1
  • 页码:7-14
  • DOI:10.1590/S0100-19651999000100002
  • 摘要:This paper presents a process of mining research & development abstract databases to profile current status and to project potential developments for target technologies, The process is called "technology opportunities analysis." This article steps through the process using a sample data set of abstracts from the INSPEC database on the topic o "knowledge discovery and data mining." The paper offers a set of specific indicators suitable for mining such databases to understand innovation prospects. In illustrating the uses of such indicators, it offers some insights into the status of knowledge discovery research*.
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