ABSTRACT

So far, knowledge-discovery techniques have focused on individual records. There are, of course, implicit connections between records that are exploited for clustering, but these connections are derived from common or similar values of some of the attributes. We now turn to the situation where there are explicit connections between records, and the properties of these connections are more significant than the properties of the individual records themselves.