75 search results - page 9 / 15 » A Sliding Window Algorithm for Relational Frequent Patterns ... |
TKDE
2008
13 years 7 months ago
2008
Although there have been many recent studies on the mining of sequential patterns in a static database and in a database with increasing data, these works, in general, do not fully...
ADMA
2008
Springer
14 years 1 months ago
2008
Springer
The process of resource distribution and load balance of a distributed P2P network can be described as the process of mining Supplement Frequent Patterns (SFPs) from query transact...
CIKM
2007
Springer
14 years 1 months ago
2007
Springer
In this work a method for detecting distance-based outliers in data streams is presented. We deal with the sliding window model, where outlier queries are performed in order to de...
JIIS
2006
13 years 7 months ago
2006
In recent years, emerging applications introduced new constraints for data mining methods. These constraints are typical of a new kind of data: the data streams. In data stream pro...
KDD
2009
ACM
14 years 3 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...