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Scientific Data Mining
Chandrika Kamath
其他書名
A Practical Perspective
出版SIAM, 2009-06-04
主題Mathematics / GeneralScience / Experiments & ProjectsScience / Microscopes & MicroscopyScience / Laboratory TechniquesComputers / Data Science / Data Analytics
ISBN08987167569780898716757
URLhttp://books.google.com.hk/books?id=8e0-nAqXTCMC&hl=&source=gbs_api
EBookSAMPLE
註釋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.