Research on learning suggests the importance of helping students organize their knowledge around meaningful patterns of information. This paper reports on a multi-institutional st...
In most IR clustering problems, we directly cluster the documents, working in the document space, using cosine similarity between documents as the similarity measure. In many real...
Extracting knowledge from existing sources of information is a key development area to unlock previously unknown relationships between specific data points. Data mining is a techn...
The information boundedness principle for rule based inference process requires that the knowledge obtained as a result of a rule should not have more information than that contai...
An important trend in Web information processing is the support of multimedia retrieval. However, the most prevailing paradigm for multimedia retrieval, content-based retrieval (C...