920 search results - page 106 / 184 » Relational Methodology for Data Mining and Knowledge Discove... |
ICDM
2009
IEEE
14 years 9 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...
103
click to vote
TIME
2008
IEEE
15 years 6 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....
103
click to vote
KAIS
2007
14 years 11 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...
BIODATAMINING
2008
14 years 12 months ago
2008
Background: Contrary to the traditional biology approach, where the expression patterns of a handful of genes are studied at a time, microarray experiments enable biologists to st...
120
click to vote
CINQ
2004
Springer
15 years 3 months ago
2004
Springer
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...