Frequent embedded subtree pattern mining is an important data mining problem with broad applications. In this paper, we propose a novel embedded subtree mining algorithm, called Pr...
Feature selection is an important data preprocessing step in data mining and pattern recognition. Many algorithms have been proposed in the past for simple patterns that can be cha...
In this paper, we describe a demonstration called an “End-to-End” demonstration developed for the 2005 offering of our grid computing course that was taught across the State o...
On-line analytical processing (OLAP) provides tools to explore and navigate into data cubes in order to extract interesting information. Nevertheless, OLAP is not capable of expla...
In data warehousing applications, the ability to efficiently delete large chunks of data from a table is very important. This feature is also known as Rollout. Rollout is generall...