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pro vyhledávání: '"KEIKHA, Mohammad"'
Recently, link prediction has attracted more attentions from various disciplines such as computer science, bioinformatics and economics. In this problem, unknown links between nodes are discovered based on numerous information such as network topolog
Externí odkaz:
http://arxiv.org/abs/1807.10494
Publikováno v:
Knowledge-Based Systems Volume 148, 15 May 2018, Pages 47-54
Social network analysis provides meaningful information about behavior of network members that can be used for diverse applications such as classification, link prediction. However, network analysis is computationally expensive because of feature lea
Externí odkaz:
http://arxiv.org/abs/1710.05199
Publikováno v:
In Expert Systems With Applications February 2020 140
Publikováno v:
2013-Vol 4- International Journal of Web & Semantic Technology (IJWesT)
Ontology matching finds correspondences between similar entities of different ontologies. Two ontologies may be similar in some aspects such as structure, semantic etc. Most ontology matching systems integrate multiple matchers to extract all the sim
Externí odkaz:
http://arxiv.org/abs/1311.3800
Publikováno v:
Journal of Sistan & Baluchistan Studies; Jun2024, Vol. 4 Issue 1, p39-49, 11p
Publikováno v:
In Knowledge-Based Systems 15 May 2018 148:47-54
Autor:
Keikha, Mohammad, Mollazadeh, Kazem
Publikováno v:
Journal of Islamic Archaeolgy Research; 2024, Issue 4, p99-122, 24p
Publikováno v:
Journal of Sistan & Baluchistan Studies; Dec2023, Vol. 3 Issue 2, p63-75, 13p
Akademický článek
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Publikováno v:
Altorientalische Forschungen (0232-8461); Jun2022, Vol. 49 Issue 1, p32-47, 16p