11 search results - page 2 / 3 » Fast and Light Boosting for Adaptive Mining of Data Streams |
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 ...
ICDE
2008
IEEE
14 years 6 months ago
2008
IEEE
Abstract-- In recent years, data streams have become ubiquitous because of advances in hardware and software technology. The ability to adapt conventional mining problems to data s...
AUSDM
2007
Springer
13 years 11 months ago
2007
Springer
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
SIGMOD
2006
ACM
14 years 5 months ago
2006
ACM
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
MOBIDE
2005
ACM
13 years 10 months ago
2005
ACM
The emergence of third-generation (3G) mobile networks offers new opportunities for the effective delivery of data with rich content including multimedia messaging and video-strea...