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Can I read Knowledge Integration Methods for Probabilistic Knowledge-based Systems on EtoBox?
Knowledge Integration Methods for Probabilistic Knowledge-based Systems by Van Tham Nguyen; Ngoc Thanh Nguyen; Trong Hieu Tran is a nonfiction available to read on EtoBox.
What is Knowledge Integration Methods for Probabilistic Knowledge-based Systems about?
Knowledge-based systems and solving knowledge integrating problems have seen a great surge of research activity in recent years. Knowledge Integration Methods for Probabilistic Knowledge-Based Systems 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.
Who reads Knowledge Integration Methods for Probabilistic Knowledge-based Systems?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Van Tham Nguyen; Ngoc Thanh Nguyen; Trong Hieu Tran
- Publisher
- Chapman and Hall/CRC
- Published
- 2022
- Language
- EN
- ISBN
- 9781032233888
- Category
- nonfiction
- Subjects
- Business, Technology, Science
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