Revealing recent developments in the field and illustrates the power of Bayesian networks in dealing the modeling of complex systems, this book takes a broad look at the literature on learning Bayesian networks—in particular their structure—from data. Specific topics are focused on in detail, but it is hoped that all the major fields in the area are covered. This book establishes a valuable resource for engineers, researchers, students and all those who are interested in discovering and experiencing the potential of this major tool of the century.