257 search results - page 18 / 52 » An Approximate L1-Difference Algorithm for Massive Data Stre... |
75
Voted
NIPS
2003
14 years 11 months ago
2003
In applying Hidden Markov Models to the analysis of massive data streams, it is often necessary to use an artificially reduced set of states; this is due in large part to the fac...
JIIS
2006
14 years 9 months ago
2006
In recent years, emerging applications introduced new constraints for data mining methods. These constraints are typical of a new kind of data: the data streams. In data stream pro...
174
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ICDE
2006
IEEE
15 years 11 months ago
2006
IEEE
Aggregate monitoring over data streams is attracting more and more attention in research community due to its broad potential applications. Existing methods suffer two problems, 1...
SDM
2003
SIAM
14 years 11 months ago
2003
SIAM
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
106
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COMPGEOM
2004
ACM
15 years 3 months ago
2004
ACM
We present memory-efficient deterministic algorithms for constructing -nets and -approximations of streams of geometric data. Unlike probabilistic approaches, these deterministic...