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...
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...
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...
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...
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’...