Big Data Analytics and Knowledge Discovery
22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings
Min Song (Redaktør) ; Il-Yeol Song (Redaktør) ; Gabriele Kotsis (Redaktør) ; A Min Tjoa (Redaktør) ; Ismail Khalil (Redaktør)
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. Les mer
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. Les mer
- Vår pris
- 1013,-
(Paperback)
Fri frakt!
Leveringstid: Sendes innen 21 dager
Paperback
Legg i
Paperback
Legg i
Vår pris:
1013,-
(Paperback)
Fri frakt!
Leveringstid: Sendes innen 21 dager
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.
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.
Big data.- Knowledge Discovery.- Query Languages.- Artificial Intelligent.-Machine Learning.- Data Warehousing.- Distributed
System.- Visualization.- Data Management.- Multimedia Data.