Advanced Computational Methods for Knowledge Engineering - Info and Reading Options
Proceedings of the 5th International Conference on Computer Science, Applied Mathematics and ... in Intelligent Systems and Computing)
By Hoai An Le Thi, Ngọc Thanh Nguyễn and Tien Van Do

"Advanced Computational Methods for Knowledge Engineering" was published by Springer in Aug 02, 2017 - Cham and it has 244 pages.
“Advanced Computational Methods for Knowledge Engineering” Metadata:
- Title: ➤ Advanced Computational Methods for Knowledge Engineering
- Authors: Hoai An Le ThiNgọc Thanh NguyễnTien Van Do
- Number of Pages: 244
- Publisher: Springer
- Publish Date: Aug 02, 2017
- Publish Location: Cham
“Advanced Computational Methods for Knowledge Engineering” Subjects and Themes:
- Subjects: Computational intelligence - Computer science, mathematics - Computer science - Mathematics
Edition Specifications:
- Format: paperback
Edition Identifiers:
- The Open Library ID: OL28240050M - OL20772734W
- ISBN-13: 9783319619101 - 9783319619118
- ISBN-10: 3319619101
- All ISBNs: 3319619101 - 9783319619101 - 9783319619118
AI-generated Review of “Advanced Computational Methods for Knowledge Engineering”:
"Advanced Computational Methods for Knowledge Engineering" Description:
Open Data:
These proceedings consist of 19 papers, which have been peer-reviewed by international program committee and selected for the 5th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2017), which was held on June 30-July 1, 2017 in Berlin, Germany. The respective chapters discuss both theoretical and practical issues in connection with computational methods and optimization methods for knowledge engineering. The broad range of application areas discussed includes network computing, simulation, intelligent and adaptive e-learning, information retrieval, sentiment analysis, autonomous underwater vehicles, social media analysis, natural language processing, biomimetics in organizations, and cash management. In addition to pure content, the book offers many inspiring ideas and suggests new research directions, making it a valuable resource for graduate students, Ph.D. students, and researchers in Computer Science and Applied Mathematics alike
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