Adaptive learning and mining for data streams and frequent patterns


This thesis is devoted to the design of data mining algorithms for evolving data streams and for the extraction of closed frequent trees. First, we deal with each of these tasks separately, and then we deal with them together, developing classification methods for data streams containing items that are trees. In the data stream model, data arrive at high… (More)
DOI: 10.1145/1656274.1656287
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