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Book synopsis

Technological advances are enabling scientists to collect vast amounts of data in fields such as medicine, remote sensing, astronomy, and high-energy physics. These data arise not only from experiments and observations, but also from computer simulations of complex phenomena. As a result, it has become impractical to manually analyze and understand the data. This book describes how techniques from the multi-disciplinary field of data mining can be used to address the modern problem of data overload in science and engineering domains. Starting with a survey of analysis problems in different applications, it identifies the common themes across these domains and uses them to define an end-to-end process of scientific data mining. This multi-step process includes tasks such as processing the raw image or mesh data to identify objects of interest; extracting relevant features describing the objects; detecting patterns among the objects; and displaying the patterns for validation by the scientists.

Book details

Book category Books in English Mathematics & science Science: general issues Scientific equipment, experiments & techniques

• Full title: Scientific Data Mining
• Author: Chandrika Kamath
• Language: English
• Binding: Paperback
• Number of pages: 300
• EAN: 9780898716757
• ISBN: 0898716756
• ID: 04379384
• Publisher: Society for Industrial & Applied Mathematics,U.S.
• Weight: 53 g
• Dimensions: 254 × 177 × 17 mm
• Date of publishing: 30. April 2009

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