60 search results - page 5 / 12 » Adaptive-Size Reservoir Sampling over Data Streams |
ISVC
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. When using visualization techniques to explore data streams, an important task is to convey pattern changes. Challenges include: (1) Most data analysis tasks require user...
IDA
2002
Springer
13 years 7 months ago
2002
Springer
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
ALGORITHMICA
2002
13 years 7 months ago
2002
Abstract. We consider the tasks of testing and spot-checking for data streams. These testers and spotcheckers are potentially useful in real-time or near real-time applications tha...
DKE
2008
13 years 7 months ago
2008
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
SIGMOD
2008
ACM
14 years 7 months ago
2008
ACM
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...