This book entitled "Genetics, Genomics and Breeding of Bamboos" provides a comprehensive overview on the economically and ecologically important non-timber plant group bamboo. The book focuses on the most recent advances in bamboo research in diverse fields including botany, genetic resources, traditional and molecular breeding, disease and pest resistance, tissue culture and genetic transformation and genomics perspective. The different chapters are authored by internationally reputed experts on this plant and is a good source of information for students, scientists, farmers, and bamboo resource management advisers on this plant, which is gaining increase importance on international commerce.

Containing twenty six contributions by experts from all over the world, this book presents both research and review material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, linguistic, fuzzy-set-theoretic, neural, evolutionary computing and rough-set-theoretic to hybrid soft computing, with significant real-life applications.Pattern Recognition and Big Data provides state-of-the-art classical and modern approaches to pattern recognition and mining, with extensive real life applications. The book describes efficient soft and robust machine learning algorithms and granular computing techniques for data mining and knowledge discovery; and the issues associated with handling Big Data. Application domains considered include bioinformatics, cognitive machines (or machine mind developments), biometrics, computer vision, the e-nose, remote sensing and social network analysis.