Selecting the links in bisonets generated from document collections
Bisociative Knowledge Discovery
Cover similarity based item set mining
Bisociative Knowledge Discovery
Patterns and logic for reasoning with networks
Bisociative Knowledge Discovery
Towards bisociative knowledge discovery
Bisociative Knowledge Discovery
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Although networks are a very natural and straightforward way of organizing heterogeneous data, as argued in the introductory chapters, few data sources are in this form. We rather find the data we want to fuse, connect, analyze and thus exploit for creative discoveries, stored in flat files, (relational) databases, text document collections and the like. As a consequence, we need, as an initial step, methods that construct a network representation by analyzing tabular and textual data, in order to identify entities that can serve as nodes and to extract relevant relationships that should be represented by edges.