Scientific Data Mining: A Practical Perspective

Science & Math

Kamath, Chandrika

Mathematics

Society for Industrial and Applied Mathematics

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.

Experiments, Instruments & Measurement

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Books by Kamath, Chandrika

See the best price to sell, buy, or rent books by Kamath, Chandrika. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Scientific Data Mining: A Practical Perspective

Scientific Data Mining: A Practical Perspective