Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety (Paperback)

Dariusz Mrozek

ISBN 10: 3319999869 / ISBN 13: 9783319999869

Published by Springer International Publishing AG, Cham, 2018

About this Item

Paperback. This book constitutes the refereed proceedings of the 14th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2018, held in Poznan, Poland, in September 2018, during the IFIP World Computer Congress.It consists of 38 carefully reviewed papers selected from 102 submissions. The papers are organized in topical sections, namely big data and cloud computing; architectures, structures and algorithms for efficient data processing; artificial intelligence, data mining and knowledge discovery; text mining, natural language processing, ontologies and semantic web; image analysis and multimedia mining. This book constitutes the refereed proceedings of the 14th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2018, held in Poznan, Poland, in September 2018, during the IFIP World Computer Congress.It consists of 38 carefully reviewed papers selected from 102 submissions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9783319999869

Bibliographic Details

• Title: Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety (Paperback)
• Publisher: Springer International Publishing AG, Cham
• Publication Date: 2018
• Language: English
• ISBN 10: 3319999869
• ISBN 13: 9783319999869
• Binding: Paperback
• Condition: new

About this title

Synopsis

This book constitutes the refereed proceedings of the 14th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2018, held in Poznań, Poland, in September 2018, during the IFIP World Computer Congress.

It consists of 38 carefully reviewed papers selected from 102 submissions. The papers are organized in topical sections, namely big data and cloud computing; architectures, structures and algorithms for efficient data processing; artificial intelligence, data mining and knowledge discovery; text mining, natural language processing, ontologies and semantic web; image analysis and multimedia mining.