2004
DOI: 10.1590/s1415-47572004000400027 View full text |Buy / Rent full text
|
|

Abstract: The aim of data mining is to find useful knowledge out of databases. In order to extract such knowledge, several methods can be used, among them machine learning (ML) algorithms. In this work we focus on ML algorithms that express the extracted knowledge in a symbolic form, such as rules. This representation may allow us to "explain" the data. Rule learning algorithms are mainly designed to induce classification rules that can predict new cases with high accuracy. However, these sorts of rules generally expres… Show more

Help me understand this report

Search citation statements

Order By: Relevance
0
0
0
0
0
0
3
0
2

Publication Types

Select...

Relationship

0
0

Authors

Journals