436 search results - page 63 / 88 » Introduction to Data Mining and Knowledge Discovery |
ACMSE
2009
ACM
15 years 4 months ago
2009
ACM
The mining of frequent sequential patterns has been a hot and well studied area—under the broad umbrella of research known as KDD (Knowledge Discovery and Data Mining)— for we...
ICDM
2009
IEEE
14 years 7 months ago
2009
IEEE
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...
ICDE
2007
IEEE
15 years 4 months ago
2007
IEEE
In this work, we propose a multi-relational concept discovery method for business intelligence applications. Multi-relational data mining finds interesting patterns that span ove...
TIME
2008
IEEE
15 years 4 months ago
2008
IEEE
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs....
KAIS
2007
14 years 9 months ago
2007
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...