From Data Mining to User Models in Evolutionary Databases

被引：0

作者：

Andres, Cesar ^{[1
]}

Nunez, Manuel ^{[1
]}

Zhang, Yaofeng ^{[1
]}

机构：

[1] Univ Complutense Madrid, Dept Sistemas Informat & Computac, E-28040 Madrid, Spain

来源：

INTELLIGENT INFORMATION AND DATABASE SYSTEMS, PT I, PROCEEDINGS | 2010年 / 5990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：

Testing is one of the most widely used techniques to increase the quality and reliability of complex software systems. In this paper we refine our previous work on passive testing with invariants to incorporate (probabilistic) knowledge obtained from users of the system under test by using data mining techniques. We adapt our previous approach in order to reduce costs. We emphasize the use of data mining to discover knowledge, a technique that is not only accurate but also comprehensible for the user.

引用

页码：54 / 63

页数：10

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