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Scientific Data Mining
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Description
Starting with a survey of analysis problems in different applications, this book 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.
A majority of the book describes how techniques from disciplines such as image and video processing, statistics, machine learning, pattern recognition, and mathematical optimization can be used for the tasks in each step. It also includes a description of software systems developed for scientific data mining; general guidelines for getting started on the analysis of massive, complex data sets; and an extensive bibliography.
Product details
Binding:
Paperback
Number of Pages:
300
Release Date:
2009-05-01
Publication Date:
2009-06-04
Publisher:
Society for Industrial and Applied Mathematics (SIAM)
Languages:
Original:
English
ISBN10:
0898716756
ISBN13:
9780898716757
Weight:
531 g
Height:
182 cm
Width:
258 cm
Thickness:
14 cm
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€3,49