CIKM
2006
Springer
13 years 8 months ago
2006
Springer
In many applications, classifiers need to be built based on multiple related data streams. For example, stock streams and news streams are related, where the classification patter...
APWEB
2006
Springer
13 years 8 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
DEXA
2009
Springer
13 years 8 months ago
2009
Springer
Detecting the failure of a data stream is relatively easy when the stream is continually full of data. The transfer of large amounts of data allows for the simple detection of inte...
SI3D
1997
ACM
13 years 8 months ago
1997
ACM
Registration (or alignment) of the synthetic imagery with the real world is crucial in augmented reality (AR) systems. The data from user-input devices, tracking devices, and imag...
ICDCS
1999
IEEE
13 years 8 months ago
1999
IEEE
There is growing interest in run-time detection as parallel and distributed systems grow larger and more complex. This work targets run-time analysis of complex, interactive scien...
IPPS
2000
IEEE
13 years 9 months ago
2000
IEEE
Data-intensive, interactive applications are an important class of metacomputing (Grid) applications. They are characterized by large, time-varying data flows between data provid...
FOCS
2000
IEEE
13 years 9 months ago
2000
IEEE
The data stream model has recently attracted attention for its applicability to numerous types of data, including telephone records, web documents and clickstreams. For analysis o...
ICVS
2001
Springer
13 years 9 months ago
2001
Springer
An increasing number of computer vision applications require on-line processing of data streams, preferably in real-time. This trend is fueled by the mainstream availability of low...
WAIM
2009
Springer
13 years 9 months ago
2009
Springer
Abstract. Mining interesting patterns in data streams has attracted special attention recently. This study revealed the principles behind observations, through variation of interve...
ACML
2009
Springer
13 years 9 months ago
2009
Springer
We propose two new improvements for bagging methods on evolving data streams. Recently, two new variants of Bagging were proposed: ADWIN Bagging and Adaptive-Size Hoeffding Tree (...