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 Data-mining tool for discovering all frequent substructure patterns from a set of labeled graphs.
IBM Frequent Subgraph Miner is a data-mining tool that uses the a priori algorithm for finding related sets of items in transactional data and expands the existing algorithm by graphing structured data. An alternative way to model objects in a data set is to use graphs. In this approach, a labeled graph is used, constructed so that each vertex and edge are independently labeled. When the data set ...
Licence : Freeware


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