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SSDBM
2003
IEEE
142views Database» more  SSDBM 2003»
14 years 26 days ago
A Strategy Selection Framework for Adaptive Prefetching in Data Visualization
Accessing data stored in persistent memory represents a bottleneck for current visual exploration applications. Semantic caching of frequent queries at the client-side along with ...
Punit R. Doshi, Geraldine E. Rosario, Elke A. Rund...
KDD
2001
ACM
226views Data Mining» more  KDD 2001»
14 years 1 days ago
Image Mining: Issues, Frameworks and Techniques
Advances in image acquisition and storage technology have led to tremendous growth in significantly large and detailed image databases. These images, if analyzed, can reveal usefu...
Ji Zhang, Wynne Hsu, Mong-Li Lee
CIKM
2010
Springer
13 years 6 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 8 months ago
Weighted Association Rule Mining using weighted support and significance framework
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
Feng Tao, Fionn Murtagh, Mohsen Farid
PDP
2003
IEEE
14 years 26 days ago
An XML based framework for self-describing parallel I/O data
File I/O data is interpreted by high performance parallel/distributed applications mostly as a sequence of arbitrary bits. This leads to the situation where data is ’volatile’...
András Belokosztolszki, Erich Schikuta