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£159 today · previous high £159 · all-time low £145

Springer Data Mining for Scientific and Engineering Applications

Amazon

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Description

As technology advances, massive data sets are becoming standard across scientific disciplines. This Springer publication explores how scientists and engineers use data mining techniques to extract useful information from complex datasets. This book serves as a collection of papers from the first two workshops in a series focused on mining scientific data. Readers will examine a wide range of application areas, including astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. The content highlights the diversity of problems found in these fields and addresses the specific issues and challenges that differentiate scientific data mining from other types of data analysis. It is an essential resource for understanding how massive computing can be applied to modern scientific research.

Key Features

This Springer book provides a collection of papers based on the first two workshops in a series focused on mining scientific datasets.

Explore data mining applications across diverse fields such as astronomy, medical imaging, and bio-informatics.

Learn how to manage and analyze massive data sets in disciplines like physics, remote sensing, and combinatorial chemistry.

The text addresses the specific challenges and issues that differentiate scientific data mining from other methods.

Part of the Massive Computing series, this volume focuses on scientific and engineering applications of data mining.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
31 October 2001
Listed Since
09 December 2006

Barcode

No barcode data available

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