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» Fast data stream algorithms using associative memories
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ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
13 years 5 months ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
14 years 7 months ago
MAIDS: Mining Alarming Incidents from Data Streams
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
JCIT
2007
99views more  JCIT 2007»
13 years 7 months ago
Design of Virtual Memory Compression System for the Embedded System
The embedded system has less fast CPU and lower memory than PC(Personal Computer) or Workstation system. Therefore, the embedded operating system is designed to efficiently use th...
Seung-Ju Jang
SIGMOD
2008
ACM
140views Database» more  SIGMOD 2008»
13 years 7 months ago
Near-optimal algorithms for shared filter evaluation in data stream systems
We consider the problem of evaluating multiple overlapping queries defined on data streams, where each query is a conjunction of multiple filters and each filter may be shared acr...
Zhen Liu, Srinivasan Parthasarathy 0002, Anand Ran...
SIGMOD
2004
ACM
157views Database» more  SIGMOD 2004»
14 years 7 months ago
Holistic UDAFs at streaming speeds
Many algorithms have been proposed to approximate holistic aggregates, such as quantiles and heavy hitters, over data streams. However, little work has been done to explore what t...
Graham Cormode, Theodore Johnson, Flip Korn, S. Mu...