872 search results - page 125 / 175 » Hybrid Learning Scheme for Data Mining Applications |
ECAI
2004
Springer
14 years 1 months ago
2004
Springer
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
AAAI
2007
13 years 10 months ago
2007
This paper describes an e-Government AI project that provides a range of intelligent AI services to support automated assessment of various types of applications submitted to an i...
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Rule induction has attracted a great deal of attention in Machine Learning and Data Mining. However, generating rules is not an end in itself because their applicability ...
DMKD
1997
ACM
14 years 5 days 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...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...