Compression of an array of similar crash test simulation results

By (author) Stefan Peter Muller

Book cover: Compression of an array of similar crash test simulation results

Extent: 232 pages

Publisher: Logos Verlag Berlin

Subjects: Technical Sciences: Computer Science, Engineering, IT, & Math

Language: English

Paperback (Published)

(February 2022)

ISBN: 9783832554446

6.65 x 9.45 inches

Price: $81.00

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Big data thrives on extracting knowledge from a large number of data sets. But how is an application possible when a single data set is several gigabytes in size? The innovative data compression techniques from the field of machine learning and modeling using Bayesian networks, which have been theoretically developed and practically implemented here, can reduce these huge amounts of data to a manageable size. By eliminating redundancies in location, time, and between simulation results, data reductions to less than 1 % of the original size are possible. The developed method represents a promising approach whose use goes far beyond the application example of crash test simulations chosen here.

  • By (author) Stefan Peter Muller

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