Data Mining To Complement Visualization For Analysis Of Simulation Data

Raghu Machiraju (Ohio State University) (S)

Viusalization allows the user to gain an understanding of the data. However, for large datasets it is often not possible to
even perform simple visualization tasks. This talk will describe an approach to analysis and representation of datasets that
will potentially allow for efficient access of datasets. Progressive access to data is enabled through a delineation of regions
that are rich with features followed by coding of the data and associated grid. The data is stored in compressed format that facilitates
the viewing of the most significant features first. The mainstay of the approach is the multiscale wavelet transform. In this
talk, efforts of designing feature preserving wavelet transforms and region-based feature detection are described.

Presentation (PowerPoint File)

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