文件列表:

AdaGraphMiner (0, 2011-11-13)
AdaGraphMiner\MOA-AdaGraphMiner-src.zip (96068, 2011-11-13)
AdaGraphMiner\MOA-AdaGraphMiner.jar (148945, 2011-11-13)

README ======================= MOA-AdaGraphMiner is a extension to MOA that allows to mine frequent closed graphs from a large stream of small graphs. INSTALL ========= To install MOA-ADAGraphMiner, you will need the moss.jar library in your java classpath. You can download it from: http://www.borgelt.net/moss.html Also you need to have the following jar files: MOA-ADAGraphMiner.jar moa.jar sizeofag.jar USAGE ========== You may run the task "LearnEvaluateModel" and use the learner AdaGraphMiner with the following options: - w: Size of the sliding window. - b: Size of a batch of examples. - s: Minimum support. - a: Alpha Minimum support. - d: Delta Closed support. - g: Rightmost path extensions as gspan - v: Verbose mode - m: Mode of Learning: INC, WIN, ADAWIN, ADAADWIN REFERENCES ================== Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Ricard Gavald: Mining frequent closed graphs on evolving data streams. KDD 2011: 591-599

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