Data Mining In Time Series And Streaming Databases Hardback
Edited by Abraham (Univ Of South Florida, Usa) Kandel, Mark (Ben-gurion Univ Of The Negev, Israel) Last, Horst (Univ Of Bern, Switzerland) Bunke
Part of the Series In Machine Perception And Artificial Intelligence series
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.
- Format: Hardback
- Pages: 196 pages
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication Date: 28/02/2018
- Category: Data mining
- ISBN: 9789813228030