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» Capturing Data Uncertainty in High-Volume Stream Processing
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118
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ICDE
2007
IEEE
104views Database» more  ICDE 2007»
15 years 9 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...
130
Voted
SIGMOD
2004
ACM
157views Database» more  SIGMOD 2004»
16 years 2 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»
15 years 8 months 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...
161
Voted
OTM
2009
Springer
15 years 9 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...
250
Voted
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
16 years 4 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