259 search results - page 41 / 52 » Mining frequent itemsets in time-varying data streams |
90
Voted
KDID
2004
14 years 11 months ago
2004
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
70
Voted
KDD
2004
ACM
15 years 10 months ago
2004
ACM
The goal of this paper is to show that generalizing the notion of support can be useful in extending association analysis to non-traditional types of patterns and non-binary data....
169
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ICDE
2000
IEEE
15 years 11 months ago
2000
IEEE
Data mining algorithms have been the focus of much research recently. In practice, the input data to a data mining process resides in a large data warehouse whose data is kept up-...
103
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PODS
2006
ACM
15 years 9 months ago
2006
ACM
In this paper, we give a simple scheme for identifying approximate frequent items over a sliding window of size n. Our scheme is deterministic and does not make any assumption on ...
DASFAA
2010
IEEE
14 years 10 months ago
2010
IEEE
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...