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https://scidar.kg.ac.rs/handle/123456789/22860Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jovičić, Miloš | - |
| dc.contributor.author | Prodanović, Nikola | - |
| dc.contributor.author | Vulović, Aleksandra | - |
| dc.contributor.author | Jovičić, Gordana | - |
| dc.contributor.author | Radaković, Aleksandar | - |
| dc.contributor.author | Filipovic, Nenad | - |
| dc.date.accessioned | 2025-12-25T12:38:34Z | - |
| dc.date.available | 2025-12-25T12:38:34Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.isbn | 978-86-81037-88-1 | en_US |
| dc.identifier.uri | https://scidar.kg.ac.rs/handle/123456789/22860 | - |
| dc.title | FUZZY C-MEANS OVER NODE EMBEDDINGS OUTPERFORMS LEIDEN FOR OVERLAPPING COMMUNITY DETECTION IN LARGE-SCALE CUSTOMER GRAPHS | en_US |
| dc.type | conferenceObject | en_US |
| dc.source.conference | Fourth Serbian International Conference on Applied Artificial Intelligence | en_US |
| Appears in Collections: | Faculty of Engineering, Kragujevac | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| AAI2025_BoA-2.pdf | 610.44 kB | Adobe PDF | ![]() View/Open |
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