1232 search results - page 17 / 247 » Evaluating role mining algorithms |
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
MLDM
2009
Springer
14 years 5 days ago
2009
Springer
The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (...
CMG
2001
13 years 9 months ago
2001
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
KDD
2009
ACM
14 years 5 days ago
2009
ACM
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
HICSS
2006
IEEE
14 years 1 months ago
2006
IEEE
Finding frequent patterns from databases has been the most time consuming process in data mining tasks, like association rule mining. Frequent pattern mining in real-time is of in...