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» Intervention Events Detection and Prediction 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
SAC
2009
ACM
14 years 2 months ago
Online annotation and prediction for regime switching data streams
Regime switching models, in which the state of the world is locally stationary, are a useful abstraction for many continuous valued data streams. In this paper we develop an onlin...
Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Ada...
DEBS
2007
ACM
13 years 11 months ago
High frequency distributed data stream event correlation to improve neonatal clinical management
Approximately eighteen percent (18%) of babies born in New South Wales (NSW), Australia require special care or neonatal intensive care admission. Premature babies can be up to 17...
Carolyn McGregor, Michael Stacey
EDBT
2006
ACM
202views Database» more  EDBT 2006»
14 years 7 months ago
Bridging Physical and Virtual Worlds: Complex Event Processing for RFID Data Streams
Advances of sensor and RFID technology provide significant new power for humans to sense, understand and manage the world. RFID provides fast data collection with precise identific...
Fusheng Wang, Shaorong Liu, Peiya Liu, Yijian Bai
ECCV
2010
Springer
13 years 8 months ago
A Data-Driven Approach for Event Prediction
When given a single static picture, humans can not only interpret the instantaneous content captured by the image, but also they are able to infer the chain of dynamic events that ...
Jenny Yuen, Antonio Torralba