5463 search results - page 64 / 1093 » Evaluating algorithms that learn from data streams |
146
Voted
SSDBM
2010
IEEE
15 years 1 months ago
2010
IEEE
Reservoir sampling is a well-known technique for random sampling over data streams. In many streaming applications, however, an input stream may be naturally heterogeneous, i.e., c...
144
Voted
IIS
2004
15 years 5 months ago
2004
Search results clustering problem is defined as an automatic, on-line grouping of similar documents in a search hits list, returned from a search engine. In this paper we present t...
259
Voted
ICDE
2009
IEEE
16 years 5 months ago
2009
IEEE
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
128
Voted
ISCA
1994
IEEE
15 years 7 months ago
1994
IEEE
Today's commodity microprocessors require a low latency memory system to achieve high sustained performance. The conventional high-performance memory system provides fast dat...
111
Voted
SSD
2007
Springer
15 years 9 months ago
2007
Springer
In this paper we study the evaluation of continuous constraint queries (CCQs) for spatiotemporal streams. A CCQ triggers an alert whenever a configuration of constraints between s...