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ICDCS
2006
IEEE
16 years 22 days ago
Adaptive Control of Extreme-scale Stream Processing Systems
Abstract— Distributed stream processing systems offer a highly scalable and dynamically configurable platform for time-critical applications ranging from real-time, exploratory ...
Lisa Amini, Navendu Jain, Anshul Sehgal, Jeremy Si...
DATE
1998
IEEE
108views Hardware» more  DATE 1998»
15 years 11 months ago
Stream Communication between Real-Time Tasks in a High-Performance Multiprocessor
The demands in terms of processing performance, communication bandwidth and real-time throughput of many multimedia applications are much higher than today's processing archi...
Jeroen A. J. Leijten, Jef L. van Meerbergen, Adwin...
ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
15 years 4 months ago
Causal Discovery from Streaming Features
In this paper, we study a new research problem of causal discovery from streaming features. A unique characteristic of streaming features is that not all features can be available ...
Kui Yu, Xindong Wu, Hao Wang, Wei Ding
EDBT
2008
ACM
167views Database» more  EDBT 2008»
16 years 6 months ago
HISSCLU: a hierarchical density-based method for semi-supervised clustering
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
Christian Böhm, Claudia Plant
IDA
2007
Springer
16 years 25 days ago
DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation
The Denclue algorithm employs a cluster model based on kernel density estimation. A cluster is defined by a local maximum of the estimated density function. Data points are assign...
Alexander Hinneburg, Hans-Henning Gabriel