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    Discovery Science

Discovery Science

Annalisa Appice
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      This book constitutes the proceedings of the 23rd International Conference on Discovery Science, DS 2020, which took place during October 19-21, 2020. The conference was planned to take place in Thessaloniki, Greece, but had to change to an online format due to the COVID-19 pandemic. The 26 full and 19 short papers presented in this volume were carefully reviewed and selected from 76 submissions. The contributions were organized in topical sections named: classification; clustering; data and knowledge representation; data streams; distributed processing; ensembles; explainable and interpretable machine learning; graph and network mining; multi-target models; neural networks and deep learning; and spatial, temporal and spatiotemporal data.
      Format: Paperback / softback CONTRIBUTORS: Annalisa Appice EAN: 9783030615260 COUNTRY: Switzerland PAGES: WEIGHT: 1098 g HEIGHT: 235 cm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2020-10-15 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics, COMPUTERS / System Administration / Storage & Retrieval, EDUCATION / Computers & Technology WIDTH: 155 cm SPINE:

      Book Themes:

      Educational equipment and technology, computer-aided learning (CAL), Data warehousing, Data mining, Information retrieval, Applied computing, Artificial intelligence, Expert systems / knowledge-based systems

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      This book constitutes the proceedings of the 23rd International Conference on Discovery Science, DS 2020, which took place during October 19-21, 2020. The conference was planned to take place in Thessaloniki, Greece, but had to change to an online format due to the COVID-19 pandemic. The 26 full and 19 short papers presented in this volume were carefully reviewed and selected from 76 submissions. The contributions were organized in topical sections named: classification; clustering; data and knowledge representation; data streams; distributed processing; ensembles; explainable and interpretable machine learning; graph and network mining; multi-target models; neural networks and deep learning; and spatial, temporal and spatiotemporal data.
      Format: Paperback / softback CONTRIBUTORS: Annalisa Appice EAN: 9783030615260 COUNTRY: Switzerland PAGES: WEIGHT: 1098 g HEIGHT: 235 cm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2020-10-15 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Data Analytics, COMPUTERS / System Administration / Storage & Retrieval, EDUCATION / Computers & Technology WIDTH: 155 cm SPINE:

      Book Themes:

      Educational equipment and technology, computer-aided learning (CAL), Data warehousing, Data mining, Information retrieval, Applied computing, Artificial intelligence, Expert systems / knowledge-based systems

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      Be the first to write a review
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