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» Detecting Change in Data Streams
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IJCAI
2007
14 years 18 days ago
Detecting Changes in Unlabeled Data Streams Using Martingale
The martingale framework for detecting changes in data stream, currently only applicable to labeled data, is extended here to unlabeled data using clustering concept. The one-pass...
Shen-Shyang Ho, Harry Wechsler
ASIAN
2005
Springer
130views Algorithms» more  ASIAN 2005»
14 years 1 months ago
A Hybrid Method for Detecting Data Stream Changes with Complex Semantics in Intensive Care Unit
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...
Ting Yin, Hongyan Li, Zijing Hu, Yu Fan, Jianlong ...
ICDM
2007
IEEE
301views Data Mining» more  ICDM 2007»
14 years 3 months ago
Stream Event Detection: A Unified Framework for Mining Outlier, Change and Burst Simultaneously over Data Stream
Event detection is one of the most important issues of event processing system, especially Complex Event Processing (CEP). Outlier event, change event and burst event are three ty...
Zhijian Yuan, Kai Du, Yan Jia, Jiajia Miao
VLDB
2004
ACM
129views Database» more  VLDB 2004»
14 years 4 months ago
Detecting Change in Data Streams
Detecting changes in a data stream is an important area of research with many applications. In this paper, we present a novel method for the detection and estimation of change. In...
Daniel Kifer, Shai Ben-David, Johannes Gehrke
ICML
2005
IEEE
14 years 12 months ago
A martingale framework for concept change detection in time-varying data streams
In a data streaming setting, data points are observed one by one. The concepts to be learned from the data points may change infinitely often as the data is streaming. In this pap...
Shen-Shyang Ho