17 search results - page 2 / 4 » Incremental rule learning based on example nearness from num... |
ASC
2011
13 years 23 days ago
2011
In this paper, we present new approaches to handling drift and shift in on-line data streams with the help of evolving fuzzy systems (EFS), which are characterized by the fact tha...
ECML
1993
Springer
13 years 9 months ago
1993
Springer
This paper describes a genetic learning system called SIA, which learns attributes based rules from a set of preclassified examples. Examples may be described with a variable numbe...
KDD
2000
ACM
13 years 9 months ago
2000
ACM
Many organizations today have more than very large databases; they have databases that grow without limit at a rate of several million records per day. Mining these continuous dat...
ASC
2008
13 years 5 months ago
2008
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
IDA
2008
Springer
13 years 5 months ago
2008
Springer
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...