"This book brings together recent advances and indepth knowledge in the fields of knowledge representation and computational intelligence, highlighting the theoretical advances and their applications to real life problems"--
Computer and information scientists and mathematicians offer concepts and methods of knowledge representation and computational intelligence as used in computer science and information technology. The topics include efficient color image segmentation by a parallel optimized (ParaOptiMUSIG) activation function, chaotic map model-based interference employed in a quantum-inspired genetic algorithm to determine the optimum gray level image thresholding, multi-objective genetic and fuzzy approaches in rule mining problems of knowledge discovery in databases, concept generation in knowledge representation using formal concept analysis, applying a functional approach to lists for developing relational model databases and Petri net analysis, and a Shannon-like solution for the fundamental equation of information science. Annotation ©2014 Book News, Inc., Portland, OR (booknews.com)
As the amount of accumulated data across a variety of fields becomes harder to maintain, it is essential for a new generation of computational theories and tools to assist humans in extracting knowledge from this rapidly growing digital data. Global Trends in Intelligent Computing Research and Development brings together recent advances and in depth knowledge in the fields of knowledge representation and computational intelligence. Highlighting the theoretical advances and their applications to real life problems, this book is an essential tool for researchers, lecturers, professors, students, and developers who have seek insight into knowledge representation and real life applications.
