Knowledge Integration Methods for Probabilistic Knowledge-based Systems, 9781032233888
Paperback
Integrate knowledge flawlessly: consistency, methods, math, and applications explored.

Knowledge Integration Methods for Probabilistic Knowledge-based Systems

$97.52

  • Paperback

    190 pages

  • Release Date

    9 October 2024

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Summary

Harmonizing Knowledge: Integration Methods for Probabilistic Systems

Knowledge-based systems and the challenges of knowledge integration are at the forefront of modern research. Knowledge Integration Methods delivers a comprehensive overview of constructing these systems, addressing inconsistencies, and effectively merging knowledge bases.

Explore:

  • Building knowledge-based systems
  • Measuring inconsistency
  • Techniques for managin…

Book Details

ISBN-13:9781032233888
ISBN-10:1032233885
Author:Ngoc Thanh Nguyen, Trong Hieu Tran, Van Tham Nguyen
Publisher:Taylor & Francis Ltd
Imprint:Chapman & Hall/CRC
Format:Paperback
Number of Pages:190
Release Date:9 October 2024
Weight:453g
Dimensions:254mm x 178mm
About The Author

Ngoc Thanh Nguyen

Van Tham Nguyen is currently a PhD candidate at Thuyloi University, Hanoi, Vietnam. He received his Ph.D. degree from VNU – University of Engineering and Technology in 2022. His scientific interests consist of collective intelligence, knowledge integration methods, inconsistent knowledge processing, and machine learning. He has published nine peer-reviewed papers in journals and conference proceedings.

Ngoc Thanh Nguyen (Ph.D., D.Sc.) is a full professor and the Head of Applied Informatics Department at the Wroclaw University of Science and Technology, Poland. He is author or co-author of 6 books and over 450 papers.

Trong Hieu Tran is currently an Associate Professor at VNU – University of Engineering and Technology. He received his dual Ph.D. degree from Wroclaw University of Technology (Poland) and Swinburne University of Technology (Australia) in 2013. His research interests include belief merging, multi-agent systems, data mining and machine learning. He is the author of 21 peer-reviewed papers in reputable journals and conferences.

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