55 search results - page 3 / 11 » A Semi-Random Multiple Decision-Tree Algorithm for Mining Da... |
CIS
2004
Springer
13 years 11 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...
ICTAI
2007
IEEE
14 years 22 days ago
2007
IEEE
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
KDD
1994
ACM
13 years 10 months ago
1994
ACM
: The problem of transforming the knowledge bases of performance systems using induced rules or decision trees into comprehensible knowledgestructures is addressed. A knowledgestru...
DIS
2009
Springer
14 years 1 months ago
2009
Springer
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...
KDD
2009
ACM
14 years 7 months ago
2009
ACM
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...