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» Modeling skew in data streams
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SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
13 years 11 months ago
Learning from Time-Changing Data with Adaptive Windowing
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
Albert Bifet, Ricard Gavaldà
JAR
2008
115views more  JAR 2008»
13 years 10 months ago
Formal Models and Analysis of Secure Multicast in Wired and Wireless Networks
The spreading of multicast technology enables the development of group communication and so dealing with digital streams becomes more and more common over the Internet. Given the f...
Roberto Gorrieri, Fabio Martinelli, Marinella Petr...
KDD
2009
ACM
168views Data Mining» more  KDD 2009»
14 years 10 months ago
Sustainable operation and management of data center chillers using temporal data mining
Motivation: Data centers are a critical component of modern IT infrastructure but are also among the worst environmental offenders through their increasing energy usage and the re...
Debprakash Patnaik, Manish Marwah, Ratnesh K. Shar...
WSC
2007
14 years 13 days ago
Non-Gaussian asset allocation in the federal thrift savings plan
Historical data suggest that returns of stocks and indices are not distributed independent and identically Normal, as is commonly assumed. Instead, returns of financial assets are...
Scott T. Nestler
HPDC
2000
IEEE
14 years 2 months ago
dQUOB: Managing Large Data Flows using Dynamic Embedded Queries
The dQUOB system satis es client need for speci c information from high-volume data streams. The data streams we speak of are the ow of data existing during large-scale visualizat...
Beth Plale, Karsten Schwan