This compendium is a completely revised version of an earlier book,
Data Mining in Time Series Databases, by the same editors. It
provides a unique collection of new articles written by leading
experts that account for the latest developments in the field of
time series and data stream mining.The emerging topics covered by
the book include weightless neural modeling for mining data
streams, using ensemble classifiers for imbalanced and evolving
data streams, document stream mining with active learning, and many
more. In particular, it addresses the domain of streaming data,
which has recently become one of the emerging topics in Data
Science, Big Data, and related areas. Existing titles do not
provide sufficient information on this topic.
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