The three volume set provides a systematic overview of theories and technique on social network analysis.Volume 2 of the set mainly focuses on the...
This book begins by explaining key concepts in programming, and elaborates on characteristic of class, including inheritance, derivation and...
This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning for big data...
Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field of big data...
This book explains deep learning concepts and derives semi-supervised learning and nuclear learning frameworks based on cognition mechanism and Lie...
Random Number Generators, Principles and Practices has been written for programmers, hardware engineers, and sophisticated hobbyists interested in...
In many modes of behavior, people act more and more like machines. In the context of work, people have become a human resource that can be replaced at...
The three volume set provides a systematic overview of theories and technique on social network analysis. Volume 1 of the set mainly focuses on the...