279 search results - page 26 / 56 » Methods for finding frequent items in data streams |
PODS
2006
ACM
14 years 7 months ago
2006
ACM
Skew is prevalent in data streams, and should be taken into account by algorithms that analyze the data. The problem of finding "biased quantiles"-- that is, approximate...
ICDE
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, we present a new technique, called Stream Projected Ouliter deTector (SPOT), to deal with outlier detection problem in high-dimensional data streams. SPOT is unique ...
KAIS
2006
13 years 7 months ago
2006
Frequent itemset mining was initially proposed and has been studied extensively in the context of association rule mining. In recent years, several studies have also extended its a...
ICDE
2006
IEEE
14 years 9 months ago
2006
IEEE
Most previously proposed frequent graph mining algorithms are intended to find the complete set of all frequent, closed subgraphs. However, in many cases only a subset of the freq...
VL
2005
IEEE
14 years 1 months ago
2005
IEEE
Large software projects often require a programmer to make changes to unfamiliar source code. This paper describes a set of tools, called Team Tracks, designed to ease program com...