2775 search results - page 85 / 555 » Differencing Data Streams |
146
Voted
COMPGEOM
2004
ACM
15 years 8 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...
138
Voted
CORR
2002
Springer
15 years 2 months ago
2002
Springer
In this paper, we first define a difference measure between the old and new sequential patterns of stream data, which is proved to be a distance. Then we propose an experimental me...
166
Voted
JIIS
2007
15 years 2 months ago
2007
Mining frequent patterns on streaming data is a new challenging problem for the data mining community since data arrives sequentially in the form of continuous rapid streams. In t...
131
Voted
KDD
2006
ACM
16 years 3 months ago
2006
ACM
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
136
Voted
ICDM
2007
IEEE
15 years 9 months ago
2007
IEEE
Sequential pattern mining is an active field in the domain of knowledge discovery. Recently, with the constant progress in hardware technologies, real-world databases tend to gro...