223 search results - page 11 / 45 » Approximate Frequency Counts over Data Streams |
86
Voted
ICDE
2009
IEEE
15 years 4 months ago
2009
IEEE
—Sampling is used as a universal method to reduce the running time of computations – the computation is performed on a much smaller sample and then the result is scaled to comp...
PODS
2003
ACM
15 years 9 months ago
2003
ACM
The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
SDM
2009
SIAM
15 years 6 months ago
2009
SIAM
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...
PAKDD
2007
ACM
15 years 3 months ago
2007
ACM
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...
SIGMOD
2002
ACM
15 years 9 months ago
2002
ACM
Recent years have witnessed an increasing interest in designing algorithms for querying and analyzing streaming data (i.e., data that is seen only once in a fixed order) with only...