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» Distance Functions to Detect Changes in Data Streams
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EDBT
2008
ACM
206views Database» more  EDBT 2008»
14 years 7 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
PAKDD
2004
ACM
137views Data Mining» more  PAKDD 2004»
14 years 23 days ago
Fast and Light Boosting for Adaptive Mining of Data Streams
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
Fang Chu, Carlo Zaniolo
CGF
2010
157views more  CGF 2010»
13 years 4 months ago
Non-iterative Second-order Approximation of Signed Distance Functions for Any Isosurface Representation
Signed distance functions (SDF) to explicit or implicit surface representations are intensively used in various computer graphics and visualization algorithms. Among others, they ...
Vladimir Molchanov, Paul Rosenthal, Lars Linsen
CORR
2002
Springer
92views Education» more  CORR 2002»
13 years 7 months ago
When to Update the sequential patterns of stream data?
In this paper, we first define a difference measure between the old and new sequential patterns of stream data, which is proved to be a distance. Then we propose an experimental me...
Qingguo Zheng, Ke Xu, Shilong Ma
CIKM
2006
Springer
13 years 11 months ago
A data stream language and system designed for power and extensibility
By providing an integrated and optimized support for user-defined aggregates (UDAs), data stream management systems (DSMS) can achieve superior power and generality while preservi...
Yijian Bai, Hetal Thakkar, Haixun Wang, Chang Luo,...