Data stream mining
Data streaming is one area of data mining that has been studied extensively. One problem of data streaming is to detect noise and random shapes when clustering, where basic K-Means usually fail. Some researchers suggested density based clustering according to a decay function; one typical example is...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2010
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| Online Access: | http://hdl.handle.net/10356/36246 |