地质资料数据挖掘系统的研究与实现  

Research and Implementation of the Data Mining System of Geological Data

作　　者：郝珊 彭薇 HAO Shan;PENG Wei(Geological Survey Institute of Hunan Province,Changsha,Hunan Province,414000 China)

机构地区：[1]湖南省地质调查所,湖南长沙414000

出　　处：《科技资讯》2024年第12期13-15,共3页Science & Technology Information

摘　　要：国内的地质资料管理多存在保管分散、协同性差、“信息孤岛”问题,很难实现其信息共享,而且难以从海量地质资料中及时获取有用的信息。数据挖掘等新兴技术应用于地质资料管理中,有助于提高地质资料服务水平。然而,目前地质资料数据挖掘多基于目录元数据库,难以发现地质资料全文间的相关性。为此,采用文本聚类分析方法提高推荐资料间的相关性,并从资料文本中提取指定关键信息,以此提高地质资料的利用效率。The management of geological data in China often faces the problems of scattered storage,poor collabo-ration and"information islands",making it difficult to achieve information sharing and obtain useful information from massive geological data in time.The application of emerging technologies such as data mining to geological data management is helpful to improve the service level of geological data,but the current data mining of geological data is mostly based on catalog metadatabases,making it difficult to find the correlation among the full text of geo-logical data.Therefore,the text clustering analysis method is used to improve the correlation among the recom-mended data,and the specified key information is extracted from the data text,so as to improve the utilization effi-ciency of geological data.

关 键 词：地质资料 数据挖掘 聚类分析 信息提取 

分 类 号：G27[文化科学—档案学]