Name
Title | ||
|---|---|---|
Meaningful discretization of continuous features for association rules mining by means of a SOM |
Abstract | ||
|---|---|---|
The paper presents the problem of the unsupervised dis- cretization of continuous attributes for association rules mining. It shows commonly used techniques for this aim and highlights their principal lim- itations. To overcome such limitations a method based on the use of a SOM is presented and tested over various real world datasets. |
Year | Venue | Keywords |
|---|---|---|
2004 | ESANN | association rule mining |
Field | DocType | Citations |
Data mining,Computer science,Association rule learning,Artificial intelligence,Machine learning,Discretization of continuous features | Conference | 21 |
PageRank | References | Authors |
0.98 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marco Vannucci | 1 | 94 | 15.60 |
| Valentina Colla | 2 | 159 | 29.50 |