76 search results - page 2 / 16 » Detecting Changes in Unlabeled Data Streams Using Martingale |
ASIAN
2005
Springer
13 years 6 months ago
2005
Springer
Abstract. Detecting changes in data streams is very important for many applications. This paper presents a hybrid method for detecting data stream changes in intensive care unit. I...
DASFAA
2008
IEEE
13 years 5 months ago
2008
IEEE
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
JIPS
2006
13 years 4 months ago
2006
: One of the critical issues in a sensor network concerns the detection of changes in data streams. Recently presented change detection schemes primarily use a sliding window model...
CIKM
2009
Springer
13 years 7 months ago
2009
Springer
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
CIDM
2007
IEEE
13 years 10 months ago
2007
IEEE
This paper presents a prototype-driven framework for classifying evolving data streams. Our framework uses cluster prototypes to summarize the data and to determine whether the cur...