74 search results - page 4 / 15 » Learning in Dynamic Environments: Decision Trees for Data St... |
ICCS
2005
Springer
15 years 3 months ago
2005
Springer
In crisis, decisions must be made in human perceptual timeframes under pressure to respond to dynamic uncertain conditions. To be effective management must have access to real time...
169
click to vote
ICDE
2006
IEEE
15 years 11 months ago
2006
IEEE
In many recent applications, data are continuously being disseminated from a source to a set of servers. In this paper, we propose a cost-based approach to construct dissemination...
SIGMOD
1999
ACM
15 years 2 months ago
1999
ACM
Classification is an important data mining problem. Given a training database of records, each tagged with a class label, the goal of classification is to build a concise model ...
CIS
2004
Springer
15 years 3 months ago
2004
Springer
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
SARA
2007
Springer
15 years 3 months ago
2007
Springer
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...