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SIGMOD
2009
ACM
177views Database» more  SIGMOD 2009»
16 years 6 months ago
ORDEN: outlier region detection and exploration in sensor networks
Sensor networks play a central role in applications that monitor variables in geographic areas such as the traffic volume on roads or the temperature in the environment. A key fea...
Conny Franke, Michael Gertz
KDD
2008
ACM
217views Data Mining» more  KDD 2008»
16 years 6 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White
UIST
1992
ACM
15 years 10 months ago
Tools for Building Asynchronous Servers to Support Speech and Audio Applications
Distributed clientisewer models are becoming increasingly prevalent in multimedia systems and advanced user interface design. A multimedia application, for example, may play and r...
Barry Arons
ISLPED
2005
ACM
86views Hardware» more  ISLPED 2005»
15 years 12 months ago
An evaluation of code and data optimizations in the context of disk power reduction
Disk power management is becoming increasingly important in high-end server and cluster type of environments that execute dataintensive applications. While hardware-only approache...
Mahmut T. Kandemir, Seung Woo Son, Guangyu Chen
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
16 years 6 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan