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| Title Details: | |
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Methodologies with Graphs |
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| Authors: |
Kampourlazos, Vasileios Papakostas, Georgios |
| Reviewer: |
Kechagias, Athanasios |
| Subject: | MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INTELLIGENT SYSTEMS |
| Description: | |
| Abstract: |
Τhe methodologies from previous chapters handle N-dimensional vectors of Euclidean space, sometimes incorporating probability distributions or feasibility distributions, the latter being fuzzy sets. This chapter considers an additional popular data type, which is graphs. Within this context, selected methodologies based on graphs are presented, such as Bayesian Networks, Knowledge Graphs, Ontologies, and the Internet.
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| Linguistic Editors: |
Violitzi, Georgia |
| Type: |
Chapter |
| Creation Date: | 2015 |
| Item Details: | |
| License: |
http://creativecommons.org/licenses/by-nc-nd/3.0/gr |
| Handle | http://hdl.handle.net/11419/3449 |
| Bibliographic Reference: | Kampourlazos, V., & Papakostas, G. (2015). Methodologies with Graphs [Chapter]. In Kampourlazos, V., & Papakostas, G. 2015. Introduction to Computational Intelligence [Undergraduate textbook]. Kallipos, Open Academic Editions. https://hdl.handle.net/11419/3449 |
| Language: |
Greek |
| Is Part of: |
Introduction to Computational Intelligence |
| Publication Origin: |
Kallipos, Open Academic Editions |