Warehousing structured and unstructured data for data mining

被引:0
|
作者
Miller, LL [1 ]
Honavar, V
Barta, T
机构
[1] Iowa State Univ, Dept Comp Sci, Ames, IA 50011 USA
[2] Iowa State Univ, Dept Ind Engn, Ames, IA 50011 USA
来源
关键词
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暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
More data, especially unstructured data, is available to users than ever. There is so much data available that it is difficult for users to make use of their data in its raw form. To handle the diversity of data types, we have designed and prototyped a multidatabase/warehouse system. The system has been especially designed to facilitate the interaction of structured and unstructured data. The system makes use of object oriented views. The main features of the view mechanism, especially as they relate to textual documents, are presented in the paper. The system is designed to take target documents either from large repositories or from the Web. Issues for both sources of documents are examined in the paper. The paper also looks at how the view approach allows the interaction between the data taken from structured (e.g., relational), semistructured (e.g., object oriented) and unstructured (e.g. text) data sources. The warehouse support provided by the system is briefly examined and the paper concludes by looking at our approach to data mining and how the system will operate in the complete environment.
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页码:215 / 224
页数:10
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