279 search results - page 22 / 56 » Methods for finding frequent items in data streams |
SIGMOD
2007
ACM
14 years 7 months ago
2007
ACM
Many database applications require the analysis and processing of data streams. In such systems, huge amounts of data arrive rapidly and their values change over time. The variati...
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...
ICDM
2002
IEEE
14 years 19 days ago
2002
IEEE
We present an algorithm to find fragments in a set of molecules that help to discriminate between different classes of, for instance, activity in a drug discovery context. Instea...
SSDBM
2008
IEEE
14 years 2 months ago
2008
IEEE
We consider approximate join processing over data streams when memory limitations cause incoming tuples to overflow the available space, precluding exact processing. Selective evi...
APWEB
2006
Springer
13 years 11 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...