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    Advanced Data Mining and Applications

Advanced Data Mining and Applications

Quan Z. Sheng
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      This six-volume set, LNAI 15387-15392, constitutes the refereed proceedings of the 20th International Conference on Advanced Data Mining and Applications, ADMA 2024, held in Sydney, New South Wales, Australia, during December 3-5, 2024. The 159 full papers presented here were carefully reviewed and selected from 422 submissions. These papers have been organized under the following topical sections across the different volumes: - Part I: Applications; Data mining. Part II: Data mining foundations and algorithms; Federated learning; Knowledge graph. Part III: Graph mining; Spatial data mining. Part IV: Health informatics. Part V: Multi-modal; Natural language processing. Part VI: Recommendation systems; Security and privacy issues.

      Format: Paperback / softback CONTRIBUTORS: Quan Z. Sheng EAN: 9789819608461 COUNTRY: Switzerland PAGES: 378 WEIGHT: HEIGHT: 235 mm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2024-12-14 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Computer Architecture, COMPUTERS / Data Science / Data Analytics, MATHEMATICS / Probability & Statistics / General WIDTH: 155 mm SPINE:

      Book Themes:

      Educational equipment and technology, computer-aided learning (CAL), Data mining, Applied computing, Systems analysis and design, Artificial intelligence, Expert systems / knowledge-based systems, Computer vision

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      This six-volume set, LNAI 15387-15392, constitutes the refereed proceedings of the 20th International Conference on Advanced Data Mining and Applications, ADMA 2024, held in Sydney, New South Wales, Australia, during December 3-5, 2024. The 159 full papers presented here were carefully reviewed and selected from 422 submissions. These papers have been organized under the following topical sections across the different volumes: - Part I: Applications; Data mining. Part II: Data mining foundations and algorithms; Federated learning; Knowledge graph. Part III: Graph mining; Spatial data mining. Part IV: Health informatics. Part V: Multi-modal; Natural language processing. Part VI: Recommendation systems; Security and privacy issues.

      Format: Paperback / softback CONTRIBUTORS: Quan Z. Sheng EAN: 9789819608461 COUNTRY: Switzerland PAGES: 378 WEIGHT: HEIGHT: 235 mm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2024-12-14 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Computer Architecture, COMPUTERS / Data Science / Data Analytics, MATHEMATICS / Probability & Statistics / General WIDTH: 155 mm SPINE:

      Book Themes:

      Educational equipment and technology, computer-aided learning (CAL), Data mining, Applied computing, Systems analysis and design, Artificial intelligence, Expert systems / knowledge-based systems, Computer vision

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