Multi-relational Data Mining, Using UML for ILP

被引：0

作者：

Knobbe, Arno J. ^{[1
]}

Siebes, Arno ^{[2
]}

Blockeel, Hendrik ^{[3
]}

Van der Wallen, Daniel ^{[4
]}

机构：

[1] Perot Syst Nederland BV, NL-3821 AE Amersfoort, Netherlands

[2] CWI, NL-1090 GB Amsterdam, Netherlands

[3] Katholieke Univ Leuven, Dept Comp Sci, B-3001 Heverlee, Belgium

[4] Inpact BV, NL-3511 RW Utrecht, Netherlands

来源：

LECTURE NOTES IN COMPUTER SCIENCE <D> | 2000年 / 1910卷

关键词：

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Although there is a growing need for multi-relational data mining solutions in KDD, the use of obvious candidates from the field of Inductive Logic Programming (ILP) has been limited. In our view this is mainly due to the variation in ILP engines, especially with respect to input specification, as well as the limited attention for relational database issues. In this paper we describe an approach which uses UML as the common specification language for a large range of ILP engines. Having such a common language will enable a wide range of users, including non-experts, to model problems and apply different engines without any extra effort. The process involves transformation of UML into a language called CDBL, that is then translated to a variety of input formats for different engines.

引用

页码：1 / 12

页数：12

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