Approximation algorithms for mining patterns from data streams
Traditional data mining techniques expect all data to be managed within some form of persistent datasets. Recently, for many emerging applications, such as stock tickers, web-click streams, and telecom call records, the concept of a \textit{data stream} is more appropriate than a stored dataset....
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| Format: | Thesis |
| Language: | English |
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2008
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| Online Access: | https://hdl.handle.net/10356/13581 |