Data mining in time series and streaming databases

Mark Last (Editor), Horst Bunke (Editor), Abraham Kandel (Editor)

Research output: Book/ReportBookpeer-review

3 Scopus citations


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.

Original languageEnglish
Place of PublicationHackensack New Jersey
PublisherWorld Scientific Publishing Co. Pte Ltd
Number of pages171
ISBN (Electronic)9789813228047, 9789813228054
ISBN (Print)9789813228030
StatePublished - Feb 2018

Publication series

NameSeries in machine perception and artificial intelligence
PublisherWorld Scientific
Volumevolume 83

ASJC Scopus subject areas

  • General Computer Science


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