Data compression is one way to alleviate the 1/0bottleneck problem faced by I/O-intensive applications such as databases. However, this approach is not widely used because of the ...
—Data compression techniques such as null suppression and dictionary compression are commonly used in today’s database systems. In order to effectively leverage compression, it...
Stratos Idreos, Raghav Kaushik, Vivek R. Narasayya...
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
It is a big challenge to promise the quality of multidimensional association mining. The essential issue is how to represent meaningful multidimensional association rules efficien...
Determining similarities among multimedia objects is a fundamental task in many content-based retrieval, analysis, mining, and exploration applications. Among state-of-the-art sim...