To understand big data, convert it to sound

The sonification of big data will help people better understand and analyze big data, as well as detect anomalies in the data, say researchers at Virginia Tech.

Humans are far better at identifying data pattern changes audibly than they are graphically in two dimensions, researchers exploring a radical concept say. They think that servers full of big data would be far more understandable if the numbers were all moved off the computer screens or hardcopies and sonified, or converted into sound.

Author: Patrick Nelson


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