String data is especially important in the privacy preserving data mining domain because most DNA and biological data is coded as strings. In this paper, we will discuss a new met...
In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...
In recent years, random projection has been used as a valuable tool for performing dimensionality reduction of high dimensional data. Starting with the seminal work of Johnson and...
The Web is a very large social network. It is important and interesting to understand the “ecology” of the Web: the general relations of Web pages to their environment. The un...
We propose the use of random projections with a sparse matrix to maintain a sketch of a collection of high-dimensional data-streams that are updated asynchronously. This sketch al...
Aditya Krishna Menon, Gia Vinh Anh Pham, Sanjay Ch...
When non-unique values are used as the identifier of entities, due to their homonym, confusion can occur. In particular, when (part of) “names” of entities are used as their ...
AceWiki is a prototype that shows how a semantic wiki using controlled natural language -- Attempto Controlled English (ACE) in our case -- can make ontology management easy for ev...
Abstract. Semantic wikis have been successfully applied to many problems in knowledge management and collaborative authoring. They are particularly appropriate for scientific and m...
Christoph Lange 0002, Sean McLaughlin, Florian Rab...
Abstract. Weaving the Semantic Web the research community is working on publishing publicly available data sources as RDF data on the Web. To facilitate the adoption of Semantic We...
Even though wikis helped start the web 2.0 phenomenon, they currently run the risk of becoming outdated. In order to find out what aspects of wikis will survive and how wikis might...