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Innovation Patterns and Big Data
Daniel Conway and Diego Klabjan
INTRODUCTION
Big data is oen generated by devices congured for collection based on
the occurrence of events. Events can occur based on scan rates (collect
yield from a combine every ve seconds), from status change (pitch is a
strike, count is now 3-1), or from rule execution (S&P 500 VIX > 24.5).
Domains such as nance and physics, where big data was rst collected
and analyzed, were the rst to create new theories and innovative new
markets, and those innovations are now nding their way into domains
where data collection has recently become feasible. For example, the
na ...