Sciweavers

82 search results - page 1 / 17
» Tracking Quantiles of Network Data Streams with Dynamic Oper...
Sort
View
INFOCOM
2010
IEEE
13 years 9 months ago
Tracking Quantiles of Network Data Streams with Dynamic Operations
— Quantiles are very useful in characterizing the data distribution of an evolving dataset in the process of data mining or network monitoring. The method of Stochastic Approxima...
Jin Cao, Li (Erran) Li, Aiyou Chen, Tian Bu
SSDBM
2008
IEEE
150views Database» more  SSDBM 2008»
14 years 5 months ago
Summarizing Two-Dimensional Data with Skyline-Based Statistical Descriptors
Much real data consists of more than one dimension, such as financial transactions (eg, price × volume) and IP network flows (eg, duration × numBytes), and capture relationship...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
SIGMOD
2005
ACM
143views Database» more  SIGMOD 2005»
14 years 11 months ago
Holistic Aggregates in a Networked World: Distributed Tracking of Approximate Quantiles
While traditional database systems optimize for performance on one-shot queries, emerging large-scale monitoring applications require continuous tracking of complex aggregates and...
Graham Cormode, Minos N. Garofalakis, S. Muthukris...
ICDE
2006
IEEE
156views Database» more  ICDE 2006»
15 years 6 days ago
What's Different: Distributed, Continuous Monitoring of Duplicate-Resilient Aggregates on Data Streams
Emerging applications in sensor systems and network-wide IP traffic analysis present many technical challenges. They need distributed monitoring and continuous tracking of events....
Graham Cormode, S. Muthukrishnan, Wei Zhuang
SSDBM
2003
IEEE
196views Database» more  SSDBM 2003»
14 years 4 months ago
Stream Window Join: Tracking Moving Objects in Sensor-Network Databases
The widespread use of sensor networks presents revolutionary opportunities for life and environmental science applications. Many of these applications involve continuous queries t...
Moustafa A. Hammad, Walid G. Aref, Ahmed K. Elmaga...