Graph-Powered machine learning:
Graph-Powered Machine Learning teaches you how to exploit the natural relationships in structured and unstructured datasets using graph-oriented machine learning algorithms and tools. In this authoritative book, you'll master the architectures and design practices of graphs, and avoid common pi...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Shelter Island
Manning Publications
[2021]
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| Schlagworte: | |
| Online-Zugang: | HWR01 |
| Zusammenfassung: | Graph-Powered Machine Learning teaches you how to exploit the natural relationships in structured and unstructured datasets using graph-oriented machine learning algorithms and tools. In this authoritative book, you'll master the architectures and design practices of graphs, and avoid common pitfalls. Author Alessandro Negro explores examples from real-world applications that connect GraphML concepts to real world tasks |
| Beschreibung: | ISBN der Online-Ressource nicht in Vorlage genannt |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781617295645 9781638353935 |
Internformat
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Datensatz im Suchindex
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| author | Negro, Alessandro |
| author_facet | Negro, Alessandro |
| author_role | aut |
| author_sort | Negro, Alessandro |
| author_variant | a n an |
| building | Verbundindex |
| bvnumber | BV048598135 |
| classification_rvk | ST 300 |
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| contents | 1. Machine learning and graphs : an introduction -- 2. Graph data engineering -- 3. Graphs in machine learning applications -- 4. Content-based recommendations -- 5. Collaborative filtering -- 6. Session-based recommendations -- 7. Context-aware and hybrid recommendations -- 8. Basic approaches to graph-powered fraud detection -- 9. Proximity-based algorithms -- 10. Social metwork analysis against fraud -- 11. Graph-based natural language processing -- 12. Knowledge graphs |
| ctrlnum | (OCoLC)1379379729 (DE-599)BVBBV048598135 |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV048598135 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:09:13Z |
| indexdate | 2024-07-10T09:42:34Z |
| institution | BVB |
| isbn | 9781617295645 9781638353935 |
| language | English |
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| physical | 1 Online-Ressource |
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| publishDate | 2021 |
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| publisher | Manning Publications |
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| spelling | Negro, Alessandro Verfasser aut Graph-Powered machine learning Negro, Alessandro Shelter Island Manning Publications [2021] 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier ISBN der Online-Ressource nicht in Vorlage genannt 1. Machine learning and graphs : an introduction -- 2. Graph data engineering -- 3. Graphs in machine learning applications -- 4. Content-based recommendations -- 5. Collaborative filtering -- 6. Session-based recommendations -- 7. Context-aware and hybrid recommendations -- 8. Basic approaches to graph-powered fraud detection -- 9. Proximity-based algorithms -- 10. Social metwork analysis against fraud -- 11. Graph-based natural language processing -- 12. Knowledge graphs Graph-Powered Machine Learning teaches you how to exploit the natural relationships in structured and unstructured datasets using graph-oriented machine learning algorithms and tools. In this authoritative book, you'll master the architectures and design practices of graphs, and avoid common pitfalls. Author Alessandro Negro explores examples from real-world applications that connect GraphML concepts to real world tasks Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Graphentheorie (DE-588)4113782-6 gnd rswk-swf Machine learning Machine learning / Graphic methods Graph theory Electronic books Maschinelles Lernen (DE-588)4193754-5 s Graphentheorie (DE-588)4113782-6 s DE-604 |
| spellingShingle | Negro, Alessandro Graph-Powered machine learning 1. Machine learning and graphs : an introduction -- 2. Graph data engineering -- 3. Graphs in machine learning applications -- 4. Content-based recommendations -- 5. Collaborative filtering -- 6. Session-based recommendations -- 7. Context-aware and hybrid recommendations -- 8. Basic approaches to graph-powered fraud detection -- 9. Proximity-based algorithms -- 10. Social metwork analysis against fraud -- 11. Graph-based natural language processing -- 12. Knowledge graphs Maschinelles Lernen (DE-588)4193754-5 gnd Graphentheorie (DE-588)4113782-6 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4113782-6 |
| title | Graph-Powered machine learning |
| title_auth | Graph-Powered machine learning |
| title_exact_search | Graph-Powered machine learning |
| title_exact_search_txtP | Graph-Powered machine learning |
| title_full | Graph-Powered machine learning Negro, Alessandro |
| title_fullStr | Graph-Powered machine learning Negro, Alessandro |
| title_full_unstemmed | Graph-Powered machine learning Negro, Alessandro |
| title_short | Graph-Powered machine learning |
| title_sort | graph powered machine learning |
| topic | Maschinelles Lernen (DE-588)4193754-5 gnd Graphentheorie (DE-588)4113782-6 gnd |
| topic_facet | Maschinelles Lernen Graphentheorie |
| work_keys_str_mv | AT negroalessandro graphpoweredmachinelearning |