Data Mining in Time Series and Streaming Databases
| AUTHOR | Kandel, Abraham; Bunke, Horst; Last, Mark et al. |
| PUBLISHER | World Scientific Publishing Company (02/28/2018) |
| PRODUCT TYPE | Hardcover (Hardcover) |
Description
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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Product Format
Product Details
ISBN-13:
9789813228030
ISBN-10:
9813228032
Binding:
Hardback or Cased Book (Sewn)
Content Language:
English
More Product Details
Page Count:
196
Carton Quantity:
34
Product Dimensions:
6.00 x 0.50 x 9.00 inches
Weight:
0.95 pound(s)
Feature Codes:
Bibliography
Country of Origin:
SG
Subject Information
BISAC Categories
Computers | Data Science - Data Analytics
Computers | Probability & Statistics - General
Computers | Artificial Intelligence - General
Dewey Decimal:
005.74
Library of Congress Control Number:
2017044537
Descriptions, Reviews, Etc.
publisher marketing
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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List Price $88.00
Your Price
$87.12