"Big data" pattern detection serves global cognition
"Big data" is a way of looking at data streams that emanate from any source. It could be weather patterns, stock market patterns, human brain waves, ocean acidity readings or a billion other possible data streams. This paper discusses various methods of pattern detection.
Cognition relies on anomalous pattern detection across very large datasets, the subject of Carnegie Mellon University (CMU) National Science Foundation grant 0916345. The purpose is to find anomalies, or variations in the patterns, that help humans to project better how to respond to or control the underlying phenomenon to their own goals: avoid storm damage, make money, improve global karma or reduce coral destruction. The CMU team's findings are here
