Overview
- Contains detailed papers on topics ranging from machine-learning algorithms to the construction of a multilingual disease-news profiler
- Discusses the use of data in optimizing business processes
- Considers a knowledge capitalization framework in the Big Data context
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12130)
Part of the book sub series: Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS)
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Table of contents (5 chapters)
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Front Matter
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Back Matter
Keywords
About this book
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability.
This, the 43rd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include classification tasks, machine learning algorithms, top-k queries, business process redesign and a knowledge capitalization framework.
Editors and Affiliations
Bibliographic Information
Book Title: Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII
Editors: Abdelkader Hameurlain, A Min Tjoa
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-62199-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2020
Softcover ISBN: 978-3-662-62198-1Published: 13 August 2020
eBook ISBN: 978-3-662-62199-8Published: 12 August 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VII, 139
Number of Illustrations: 58 b/w illustrations, 39 illustrations in colour
Topics: Database Management, Artificial Intelligence, Computer Applications, Information Storage and Retrieval