Big Data Analytics and Knowledge Discovery [electronic resource] : 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings

• Tác giả: Ismail Khalil, Gabriele Kotsis, Il-Yeol Song, Min Song, A Min Tjoa
• ISBN-13: 978-3030590659
• Ký hiệu phân loại: 005.74 Data files and databases
• Thông tin xuất bản: Cham : Springer International Publishing : Imprint: Springer, 2020.
• Mô tả vật lý: XIII, 410 p. 153 illus., 113 illus. in color. , online resource.
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 332111
• Chủ đề: 1. Computer systems; 2. Database management; 3. Education—Data processing; 4. Information technology—Management; 5. Social sciences—Data processing

Tóm tắt

The volume LNCS 12393 constitutes the papers of the 22nd International Conference Big Data Analytics and Knowledge Discovery which will be held online in September 2020. The 15 full papers presented together with 14 short papers plus 1 position paper in this volume were carefully reviewed and selected from a total of 77 submissions. This volume offers a wide range to following subjects on theoretical and practical aspects of big data analytics and knowledge discovery as a new generation of big data repository, data pre-processing, data mining, text mining, sequences, graph mining, and parallel processing.