ICDE
2007
IEEE
13 years 10 months ago
2007
IEEE
Data Stream Management Systems are useful when large volumes of data need to be processed in real time. Examples include monitoring network traffic, monitoring financial transacti...
FGCN
2007
IEEE
13 years 10 months ago
2007
IEEE
In this paper, we present a novel feedback control-based load shedding scheme for data stream processing. Firstly we apply system identification to establish a dynamic model to de...
CIDM
2007
IEEE
13 years 10 months ago
2007
IEEE
Outlier detection has recently become an important problem in many industrial and financial applications. This problem is further complicated by the fact that in many cases, outlie...
AINA
2007
IEEE
13 years 10 months ago
2007
IEEE
Abstract— A wireless sensor network (WSN) is energy constrained, and the extension of its lifetime is one of the most important issues in its design. Usually, a WSN collects a la...
ADC
2008
Springer
13 years 10 months ago
2008
Springer
Mining frequent patterns in a data stream is very challenging for the high complexity of managing patterns with bounded memory against the unbounded data. While many approaches as...
FOCS
2008
IEEE
13 years 10 months ago
2008
IEEE
We consider the read/write streams model, an extension of the standard data stream model in which an algorithm can create and manipulate multiple read/write streams in addition to...
EUROSSC
2009
Springer
13 years 11 months ago
2009
Springer
A major challenge in using multi-modal, distributed sensor systems for activity recognition is to maintain a temporal synchronization between individually recorded data streams. A ...
DIS
2009
Springer
13 years 11 months ago
2009
Springer
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...
COCO
2009
Springer
13 years 11 months ago
2009
Springer
—The Gap-Hamming-Distance problem arose in the context of proving space lower bounds for a number of key problems in the data stream model. In this problem, Alice and Bob have to...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...