Rate this book
What to read after Knowledge Integration Methods for Probabilistic Knowledge-based Systems?
Hello there! I go by the name Robo Ratel, your very own AI librarian, and I'm excited to assist you in discovering your next fantastic read after "Knowledge Integration Methods for Probabilistic Knowledge-based Systems" by Ngoc Thanh Nguyen! 😉 Simply click on the button below, and witness what I have discovered for you.
Exciting news! I've found some fantastic books for you! 📚✨ Check below to see your tailored recommendations. Happy reading! 📖😊
Knowledge Integration Methods for Probabilistic Knowledge-based Systems
Ngoc Thanh Nguyen , Trong Hieu Tran , Van Tham Nguyen
Knowledge-based systems and solving knowledge integrating problems have seen a great surge of research activity in recent years. Knowledge Integration Methods provides a wide snapshot of building knowledge-based systems, inconsistency measures, methods for handling consistency, and methods for integrating knowledge bases. The book also provides the mathematical background to solving problems of restoring consistency and integrating probabilistic knowledge bases in the integrating process. The research results presented in the book can be applied in decision support systems, semantic web systems, multimedia information retrieval systems, medical imaging systems, cooperative information systems, and more. This text will be useful for computer science graduates and PhD students, in addition to researchers and readers working on knowledge management and ontology interpretation.
Do you want to read this book? 😳
Buy it now!
Are you curious to discover the likelihood of your enjoyment of "Knowledge Integration Methods for Probabilistic Knowledge-based Systems" by Ngoc Thanh Nguyen? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.
