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» Distance Functions to Detect Changes in Data Streams
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DEXA
2009
Springer
88views Database» more  DEXA 2009»
13 years 11 months ago
Significance-Based Failure and Interference Detection in Data Streams
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...
Nickolas J. G. Falkner, Quan Z. Sheng
APWEB
2006
Springer
13 years 11 months ago
DSEC: A Data Stream Engine Based Clinical Information System
This demo paper describes a clinical information system: Data Stream Engine based Clinical information system (DSEC). In DSEC, data stream technology as well as traditional compute...
Yu Fan, Hongyan Li, Zijing Hu, Jianlong Gao, Haibi...
LCPC
1991
Springer
13 years 11 months ago
An Executable Representation of Distance and Direction
The dependence ow graph is a novel intermediate representation for optimizingand parallelizing compilersthat can be viewed as an executable representation of program dependences. ...
Richard Johnson, Wei Li, Keshav Pingali
SIGMOD
2007
ACM
195views Database» more  SIGMOD 2007»
14 years 7 months ago
Effective variation management for pseudo periodical streams
Many database applications require the analysis and processing of data streams. In such systems, huge amounts of data arrive rapidly and their values change over time. The variati...
Lv-an Tang, Bin Cui, Hongyan Li, Gaoshan Miao, Don...
ICASSP
2011
IEEE
12 years 11 months ago
Modified embedding for multi-regime detection in nonstationary streaming data
Many practical data streams are typically composed of several states known as regimes. In this paper, we invoke phase space reconstruction methods from non-linear time series and ...
Evan Kriminger, José Carlos Príncipe...