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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: 9789819608102 COUNTRY: Switzerland PAGES: 434 WEIGHT: HEIGHT: 235 mm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2024-12-13 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: 9789819608102 COUNTRY: Switzerland PAGES: 434 WEIGHT: HEIGHT: 235 mm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2024-12-13 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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