Knowledge Integration Methods for Probabilistic Knowledge based Systems is popular PDF and ePub book, written by Van Tham Nguyen in 2022-12-30, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Knowledge Integration Methods for Probabilistic Knowledge based Systems can be Read Online from any device for your convenience.
Knowledge Integration Methods for Probabilistic Knowledge based Systems Book PDF Summary
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.
Detail Book of Knowledge Integration Methods for Probabilistic Knowledge based Systems PDF
- Author : Van Tham Nguyen
- Release : 30 December 2022
- Publisher : CRC Press
- ISBN : 9781000809992
- Genre : Business & Economics
- Total Page : 176 pages
- Language : English
- PDF File Size : 9,6 Mb
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