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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Dettagli Bibliografici
Autore principale: Dang, Xuan Hong
Altri autori: Ng, Wee Keong
Natura: Tesi
Lingua:English
Pubblicazione: 2008
Soggetti:
Accesso online:https://hdl.handle.net/10356/13581