Data Mining In Time Series And Streaming Databases

Kandel Abraham

ISBN 10: 9813228032 ISBN 13: 9789813228030

Editorial: World Scientific Publishing Co Pte Ltd, 2018

Idioma: Ingl�s

Condici�n: Nuevo Encuadernaci�n de tapa dura

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Descripci�n

New Book. Shipped from UK. Established seller since 2000.

N� de ref. del art�culo CW-9789813228030

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Detalles bibliogr�ficos

T�tulo

Data Mining In Time Series And Streaming Databases

Editor

World Scientific Publishing Co Pte Ltd

Fecha de publicaci�n

2018

Idioma

Ingl�s

ISBN 10

9813228032

ISBN 13

9789813228030

Encuadernaci�n

HRD

Estado

New

Cat�logos de vendedores

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Sinopsis

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.

Rese�a del editor

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.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

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