Finding patterns of importance in a deluge of data

Dartmouth engineers George Cybenko and Vincent Berk think that PQS, or process query systems, are the way to go to make sense of the huge volume of data we collect each day from computer network monitors, video surveillance cameras, financial transaction records, databases of email exchanges, etc. The duo present their case in a paper published in this month's IEEE Computer, the flagship magazine of the Institute of Electrical and Electronics Engineers' Computer Society.