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- W2053964643 abstract "Databases are growing incessantly and many sources produce data continuously. In many cases, we need to extract some sort of knowledge from this continuous stream of data. Example include customer click streams, telephone records, large sets of web pages, multimedia data, scientific data, and sets of retail chain transactions. These sources are called data streams. The goal of this track is to convene researches who deal with decision rules, decision trees, association rules, clustering, filtering pre/post-processing, feature selection, visualization techniques, etc. from data streams and related themes." @default.
- W2053964643 created "2016-06-24" @default.
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- W2053964643 date "2005-03-13" @default.
- W2053964643 modified "2023-10-15" @default.
- W2053964643 title "Editorial message" @default.
- W2053964643 doi "https://doi.org/10.1145/1066677.1066805" @default.
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