941 search results - page 5 / 189 » Adaptive Learning from Evolving Data Streams |
PAKDD
2004
ACM
14 years 22 days ago
2004
ACM
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
PR
2007
13 years 6 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...
GECCO
2004
Springer
14 years 23 days ago
2004
Springer
Data mining has recently attracted attention as a set of efficient techniques that can discover patterns from huge data. More recent advancements in collecting massive evolving da...
SAC
2009
ACM
14 years 2 months ago
2009
ACM
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
KDD
2007
ACM
14 years 7 months ago
2007
ACM
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...