92 search results - page 3 / 19 » Cost-Efficient Mining Techniques for Data Streams |
PR
2007
13 years 4 months ago
2007
A data stream is a potentially uninterrupted flow of data. Mining this flow makes it necessary to cope with uncertainty, as only a part of the stream can be stored. In this pape...
CIKM
2008
Springer
13 years 7 months ago
2008
Springer
This paper proposes a prefix-tree structure, called CPS-tree (Compact Pattern Stream tree) that efficiently discovers the exact set of recent frequent patterns from high-speed dat...
PAKDD
2010
ACM
13 years 7 months ago
2010
ACM
We present ActMiner, which addresses four major challenges to data stream classification, namely, infinite length, concept-drift, conceptevolution, and limited labeled data. Most o...
DIS
2004
Springer
13 years 10 months ago
2004
Springer
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
KDD
2003
ACM
14 years 5 months ago
2003
ACM
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...