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» Automatic Detection of Structural Changes in Data Warehouses
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SIGMETRICS
2011
ACM
208views Hardware» more  SIGMETRICS 2011»
12 years 10 months ago
Structure-aware sampling on data streams
The massive data streams observed in network monitoring, data processing and scientific studies are typically too large to store. For many applications over such data, we must ob...
Edith Cohen, Graham Cormode, Nick G. Duffield
TIP
2010
121views more  TIP 2010»
13 years 2 months ago
Robust Processing of Optical Flow of Fluids
Abstract--This paper proposes a new approach, coupling physical models and image estimation techniques, for modelling the movement of fluids. The fluid flow is characterized by tur...
Ashish Doshi, Adrian G. Bors
ECIR
2008
Springer
13 years 9 months ago
Clustering Template Based Web Documents
More and more documents on the World Wide Web are based on templates. On a technical level this causes those documents to have a quite similar source code and DOM tree structure. G...
Thomas Gottron
BMCBI
2004
181views more  BMCBI 2004»
13 years 7 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
CIDM
2007
IEEE
13 years 11 months ago
Efficient Kernel-based Learning for Trees
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...