Social networks analysis and mining: 16th international conference, ASONAM 2024, Rende, Italy, September 2-5, 2024, proceedings, part I
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| Other Authors: | , , |
| Format: | Electronic Conference Proceeding eBook |
| Language: | English |
| Published: |
Cham, Switzerland
Springer
[2025]
|
| Edition: | 1st ed. 2025 |
| Series: | Lecture notes in computer science
15211 |
| Subjects: | |
| Online Access: | DE-522 DE-634 DE-Aug4 DE-1050 DE-573 DE-M347 DE-92 DE-898 DE-859 DE-861 DE-863 DE-862 DE-523 DE-91 DE-384 DE-473 DE-19 DE-355 DE-703 DE-20 DE-706 DE-824 DE-29 DE-739 Volltext |
| Physical Description: | 1 Online-Ressource (xvi, 506 Seiten) Illustrationen |
| ISBN: | 9783031785412 |
| ISSN: | 1611-3349 |
| DOI: | 10.1007/978-3-031-78541-2 |
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| author_facet | Aiello, Luca Maria 1985- Chakraborty, Tanmoy Gaito, Sabrina ASONAM Rende |
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| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
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| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-031-78541-2 |
| edition | 1st ed. 2025 |
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| genre | (DE-588)1071861417 Konferenzschrift 2024 Rende gnd-content |
| genre_facet | Konferenzschrift 2024 Rende |
| id | DE-604.BV050150404 |
| illustrated | Illustrated |
| indexdate | 2025-05-10T04:00:23Z |
| institution | BVB |
| institution_GND | (DE-588)1359732659 |
| isbn | 9783031785412 |
| issn | 1611-3349 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035486735 |
| oclc_num | 1498775083 |
| open_access_boolean | |
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| physical | 1 Online-Ressource (xvi, 506 Seiten) Illustrationen |
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| publishDate | 2025 |
| publishDateSearch | 2025 |
| publishDateSort | 2025 |
| publisher | Springer |
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| series | Lecture notes in computer science |
| series2 | Lecture notes in computer science |
| spellingShingle | Social networks analysis and mining 16th international conference, ASONAM 2024, Rende, Italy, September 2-5, 2024, proceedings, part I Computer and Information Systems Applications Data Analysis and Big Data Natural Language Processing (NLP) Machine Learning Application software Quantitative research Natural language processing (Computer science) Machine learning Lecture notes in computer science |
| subject_GND | (DE-588)1071861417 |
| title | Social networks analysis and mining 16th international conference, ASONAM 2024, Rende, Italy, September 2-5, 2024, proceedings, part I |
| title_auth | Social networks analysis and mining 16th international conference, ASONAM 2024, Rende, Italy, September 2-5, 2024, proceedings, part I |
| title_exact_search | Social networks analysis and mining 16th international conference, ASONAM 2024, Rende, Italy, September 2-5, 2024, proceedings, part I |
| title_full | Social networks analysis and mining 16th international conference, ASONAM 2024, Rende, Italy, September 2-5, 2024, proceedings, part I Luca Maria Aiello, Tanmoy Chakraborty, Sabrina Gaito, editors |
| title_fullStr | Social networks analysis and mining 16th international conference, ASONAM 2024, Rende, Italy, September 2-5, 2024, proceedings, part I Luca Maria Aiello, Tanmoy Chakraborty, Sabrina Gaito, editors |
| title_full_unstemmed | Social networks analysis and mining 16th international conference, ASONAM 2024, Rende, Italy, September 2-5, 2024, proceedings, part I Luca Maria Aiello, Tanmoy Chakraborty, Sabrina Gaito, editors |
| title_short | Social networks analysis and mining |
| title_sort | social networks analysis and mining 16th international conference asonam 2024 rende italy september 2 5 2024 proceedings part i |
| title_sub | 16th international conference, ASONAM 2024, Rende, Italy, September 2-5, 2024, proceedings, part I |
| topic | Computer and Information Systems Applications Data Analysis and Big Data Natural Language Processing (NLP) Machine Learning Application software Quantitative research Natural language processing (Computer science) Machine learning |
| topic_facet | Computer and Information Systems Applications Data Analysis and Big Data Natural Language Processing (NLP) Machine Learning Application software Quantitative research Natural language processing (Computer science) Machine learning Konferenzschrift 2024 Rende |
| url | https://doi.org/10.1007/978-3-031-78541-2 |
| volume_link | (DE-604)BV014880109 |
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