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» Capturing Data Uncertainty in High-Volume Stream Processing
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SEM
2004
Springer
13 years 10 months ago
Integration of a Text Search Engine with a Java Messaging Service
Large-scale information processing applications must rapidly search through high volume streams of structured and unstructured textual data to locate useful information. Content-ba...
Justin Almquist, Ian Gorton, Jereme Haack
CLEANDB
2006
ACM
312views Database» more  CLEANDB 2006»
13 years 8 months ago
Efficiently Filtering RFID Data Streams
RFID holds the promise of real-time identifying, locating, tracking and monitoring physical objects without line of sight, and can be used for a wide range of pervasive computing ...
Yijian Bai, Fusheng Wang, Peiya Liu
WWW
2008
ACM
14 years 5 months ago
Utility-driven load shedding for xml stream processing
Because of the high volume and unpredictable arrival rate, stream processing systems may not always be able to keep up with the input data streams-- resulting in buffer overflow a...
Mingzhu Wei, Elke A. Rundensteiner, Murali Mani
HPDC
2010
IEEE
13 years 6 months ago
Detouring and replication for fast and reliable internet-scale stream processing
iFlow is a replication-based system that can achieve both fast and reliable processing of high volume data streams on the Internet scale. iFlow uses a low degree of replication in...
Christopher McConnell, Fan Ping, Jeong-Hyon Hwang
ICML
2007
IEEE
14 years 5 months ago
Percentile optimization in uncertain Markov decision processes with application to efficient exploration
Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
Erick Delage, Shie Mannor