A Data Quality Index with Respect to Case Bases within Case-Based Reasoning

被引：0

作者：

Hoenigl, Juergen ^{[1
]}

Kueng, Josef ^{[1
]}

机构：

[1] Johannes Kepler Univ Linz, Inst Applicat Oriented Knowledge Proc, A-4040 Linz, Austria

来源：

INTELLIGENT INFORMATION AND DATABASE SYSTEMS, PT 1 | 2014年 / 8397卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Within Case-Based Reasoning (CBR), terms concerning quality of a case base are mentioned in publications, but partially without clarifications of criteria. When developing a CBR system from scratch, an index for case base quality supports an assessment of the actual cases. In this approach, both theory and an application are demonstrated. An index was defined and subsequent applied within a current CBR project, which is under development. In addition, various approaches concerning case base quality are demonstrated. Big data occurs within a combination of high velocity, great volume and variety of incoming data. Defining an index to measure the case base quality copes with that.

引用

页码：432 / 442

页数：11

共 50 条

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