Extensible and similarity-based grouping for data integration

被引：3
|
作者：
Schallehn, E [1 ]
Sattler, KU [1 ]
Saake, G [1 ]
机构：
[1] Univ Magdeburg, Dept Comp Sci, D-39016 Magdeburg, Germany
来源：
18TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, PROCEEDINGS | 2002年
关键词：
D O I：
10.1109/ICDE.2002.994731
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The general concept of grouping and aggregation appears to be a fitting paradigm for various issues in data integration, but in its common fibrin of equality-based grouping a number of problems remain unsolved. We propose a generic approach to user-defined grouping as part of a SQL extension, allowing for more complex functions, for instance integration of data mining algorithms. Furthermore, we discuss high-level language primitives for common applications.
引用
收藏
页码：277 / 277
页数：1
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