The research of IDSS and Media Lab professor Alex ' Sandy' Pentland shows that predicting human behavior requires the ability to frequently analyze relatively small data sets collected over short periods of time.
Laboratory for Information and Decision Systems alumnus and CSAIL lecturer Jehangir Amjad uses statistical methods to predict likely outcomes with limited data.
Model developed by researchers at the Laboratory for Information and Decision Systems (LIDS) extracts granular behavioral patterns from transaction data to more accurately flag suspicious activity.