373 search results - page 32 / 75 » Mining time-changing data streams |
PAKDD
2005
ACM
14 years 1 months ago
2005
ACM
Abstract. The data stream model of computation is often used for analyzing huge volumes of continuously arriving data. In this paper, we present a novel algorithm called DUCstream ...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
While there has been a lot of work on finding frequent itemsets in transaction data streams, none of these solve the problem of finding similar pairs according to standard similar...
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...
DASFAA
2007
IEEE
14 years 1 months ago
2007
IEEE
Networks of thousands of sensors present a feasible and economic solution to some of our most challenging problems, such as real-time traffic modeling, military sensing and trackin...
CIS
2004
Springer
14 years 1 months ago
2004
Springer
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...