Making sense of the enormous amounts of information delivered by all types of sensors is an incredible challenge, but it's being met head on with knowledge discovery techniques developed at Oak Ridge National Laboratory. Some of the strategies and approaches are outlined in a recently published book, "Knowledge Discovery from Sensor Data," edited by a team led by Auroop Ganguly of ORNL's Computational Sciences and Engineering Division. The book is specifically aimed at analyzing dynamic data streams from sensors that are geographically distributed. "We are especially interested in looking for changes ? even ones that are very gradual and anomalies," Ganguly said. This work helps to validate and assign uncertainties to models developed to understand issues related to climate, transportation and biomass. Co-authors include Olufemi Omitaomu and Ranga Raju Vatsavai of ORNL. This research was originally funded by the Laboratory Directed Research and Development program