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IPPS
1999
IEEE
14 years 3 days ago
The Characterization of Data-Accumulating Algorithms
A data-accumulating algorithm (d-algorithm for short) works on an input considered as a virtually endless stream. The computation terminates when all the currently arrived data ha...
Stefan D. Bruda, Selim G. Akl
JIIS
2006
147views more  JIIS 2006»
13 years 7 months ago
Mining sequential patterns from data streams: a centroid approach
In recent years, emerging applications introduced new constraints for data mining methods. These constraints are typical of a new kind of data: the data streams. In data stream pro...
Alice Marascu, Florent Masseglia
ICDE
2008
IEEE
124views Database» more  ICDE 2008»
14 years 9 months ago
Randomized Synopses for Query Assurance on Data Streams
The overwhelming flow of information in many data stream applications forces many companies to outsource to a third-party the deployment of a Data Stream Management System (DSMS) f...
Ke Yi, Feifei Li, Marios Hadjieleftheriou, George ...
SDM
2009
SIAM
164views Data Mining» more  SDM 2009»
14 years 5 months ago
Time-Decayed Correlated Aggregates over Data Streams.
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...
Graham Cormode, Srikanta Tirthapura, Bojian Xu
ICIP
2005
IEEE
14 years 9 months ago
Scene analysis for reducing motion JPEG 2000 video surveillance delivery bandwidth and complexity
In this paper, we propose a new object-based video coding/transmission system using the emerging Motion JPEG 2000 standard [1] for the efficient storage and delivery of video surve...
Christophe Parisot, Jérôme Meessen, J...