Big Data Analytics and Knowledge Discovery〈1st ed. 2020〉 : 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings

著者名：Song, Min (EDT)/Song, Il-Yeol (EDT)/Kotsis, Gabriele (EDT)/Tjoa, A Min (EDT)/Khalil, Ismail (EDT)

Springer（2020/09/10発売）

• 言語：ENG
• ISBN：9783030590642
• eISBN：9783030590659

Description

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.

Table of Contents

Big data.- Knowledge Discovery.- Query Languages.- Artificial Intelligent.-Machine Learning.- Data Warehousing.- Distributed System.- Visualization.- Data Management.- Multimedia Data.