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. This technology includes a sample data set, which consists of 340 chemical compounds; a resulting research report, which describes the algorithm used in detail; and complete instructions, which describe how to use this tool.