151 search results - page 5 / 31 » Discretization from data streams: applications to histograms... |
MLDM
2009
Springer
14 years 1 months ago
2009
Springer
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
SIGMOD
2005
ACM
14 years 7 months ago
2005
ACM
We present algorithms for fast quantile and frequency estimation in large data streams using graphics processor units (GPUs). We exploit the high computational power and memory ba...
IPPS
2006
IEEE
14 years 26 days ago
2006
IEEE
There are many application classes where the users are flexible with respect to the output quality. At the same time, there are other constraints, such as the need for real-time ...
KDD
2004
ACM
14 years 7 months ago
2004
ACM
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
SIGMOD
2006
ACM
14 years 7 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...