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CRC Press Advances in Machine Learning and Data Mining for Astronomy

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Description

Explore the intersection of computer science and astronomical research with Advances in Machine Learning and Data Mining for Astronomy. Published by CRC Press as part of the Chapman and Hall/CRC Data Mining and Knowledge Discovery Series, this text examines successful collaborations between statisticians, computer scientists, and astronomers. As scientific disciplines face increasing amounts of complex data, this book addresses the need for advanced analytical methods. It moves beyond traditional boundaries to show how state-of-the-art machine learning and data mining techniques can be applied to large-scale astronomical datasets. The introductory sections provide essential context regarding astronomical science issues that also hold significance for other fields, such as health. This makes it a valuable resource for researchers and students looking to understand how modern computational methods solve real-world problems in complex scientific environments.

Key Features

Explores successful collaborations between astronomers, statisticians, and computer scientists to solve complex data problems.

Covers state-of-the-art machine learning and data mining techniques specifically applied to astronomical research.

Addresses the challenges of managing massive and complex datasets found in modern scientific disciplines.

Transcends traditional boundaries between computer science and various areas of the physical sciences.

Provides introductory context that connects astronomical science issues to important topics in health.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 March 2012
Listed Since
15 February 2010

Barcode

No barcode data available

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