1170 search results - page 30 / 234 » Experience with Ripple-Down Rules |
DMKD
1997
ACM
14 years 3 months ago
1997
ACM
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
ICMCS
2006
IEEE
14 years 5 months ago
2006
IEEE
Content-free image retrieval uses accumulated user feedback records to retrieve images without analyzing image pixels. We present a Bayesian-based algorithm to analyze user feedba...
SAC
2010
ACM
14 years 4 months ago
2010
ACM
In this paper we propose a new and elegant approach toward the generalization of frequent itemset mining to the multirelational case. We define relational itemsets that contain i...
ICML
2007
IEEE
14 years 12 months ago
2007
IEEE
A typical goal for transfer learning algorithms is to utilize knowledge gained in a source task to learn a target task faster. Recently introduced transfer methods in reinforcemen...
KES
2004
Springer
14 years 4 months ago
2004
Springer
Our objective is a comparison of two data mining approaches to dealing with imbalanced data sets. The first approach is based on saving the original rule set, induced by the LEM2 ...