The papers discuss data mining techniques applied to data warehouse Web logs, data cubes, and high-dimensional datasets; techniques utilizing pattern comparisons, frequent patterns, and vertical mining patterns; data mining applications in bioinformatics, including hierarchical classification, topological analysis, and sub-network mining; and data-mining techniques using multiple criteria optimization, support vector machine classifiers, graph-based mining, and Web services.

Data-mining capability enables staff to enhance the quality of this information by facilitating knowledge discovery in these databases.

Of the 199 data-mining efforts identified by the GAO, 122 are using personal information, and many of these efforts use sensitive private-sector data such as credit reports or bank account numbers.