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» Capturing Data Uncertainty in High-Volume Stream Processing
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ICDE
2007
IEEE
104views Database» more  ICDE 2007»
14 years 1 months ago
Dynamic Metadata Management for Scalable Stream Processing Systems
Adaptive query processing is of utmost importance for the scalability of data stream processing systems due to the long-running queries and fluctuating stream characteristics. An...
Michael Cammert, Jürgen Krämer, Bernhard...
SIGMOD
2004
ACM
157views Database» more  SIGMOD 2004»
14 years 7 months ago
Adaptive Ordering of Pipelined Stream Filters
We consider the problem of pipelined filters, where a continuous stream of tuples is processed by a set of commutative filters. Pipelined filters are common in stream applications...
Shivnath Babu, Rajeev Motwani, Kamesh Munagala, It...
ICMCS
2005
IEEE
133views Multimedia» more  ICMCS 2005»
14 years 29 days ago
Multi-sensory speech processing: incorporating automatically extracted hidden dynamic information
We describe a novel technique for multi-sensory speech processing for enhancing noisy speech and for improved noiserobust speech recognition. Both air- and bone-conductive microph...
Amarnag Subramanya, Li Deng, Zicheng Liu, Zhengyou...
OTM
2009
Springer
14 years 1 months ago
Evaluating Transport Protocols for Real-Time Event Stream Processing Middleware and Applications
Real-time event stream processing (RT-ESP) applications must synchronize continuous data streams despite fluctuations in resource availability. Satisfying these needs of RT-ESP ap...
Joe Hoffert, Douglas C. Schmidt, Aniruddha S. Gokh...
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
14 years 8 months ago
SPOT: A System for Detecting Projected Outliers From High-dimensional Data Streams
In this paper, we present a new technique, called Stream Projected Ouliter deTector (SPOT), to deal with outlier detection problem in high-dimensional data streams. SPOT is unique ...
Ji Zhang, Qigang Gao, Hai H. Wang