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...
People often use powerful tools to manage the documents they encounter, but very rarely to store the mental knowledge they glean from those documents. Popcorn is a personal knowle...
Stephen Davies, Scotty Allen, Jon Raphaelson, Emil...
Multistructured documents are documents whose structure is composed of a set of concurrent hierarchical structures. In this paper, we propose a new model of multistructured docume...
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...
Abstract— Comparing genetic sequences is a well-known problem in bioinformatics. Newly determined sequences are being compared to known sequences stored in databases in order to ...
Philippe Faes, Bram Minnaert, Mark Christiaens, Er...