Chinese University of Petroleum, Qingdao, China, July 19-24, 2015

Professor Craig C. Douglas


Dynamic Big Data-Driven Application Systems (DBDDAS) is a paradigm whereby applications and measurements become a symbiotic feedback control system with the ability to dynamically incorporate additional Big Data into executing applications and dynamically steer the measurement process, which provides more accurate analysis and prediction, more precise controls, and more reliable outcomes.

Data mining is a paradigm to find hidden data and anomalies in either data sets or bases. The data can be either static or dynamic and can come from streams that are not saved.

Craig C. Douglas

Last modified: