
Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII
Springer (Publisher)
Published on 13. August 2020
Book
Paperback/Softback
VII, 139 pages
978-3-662-62198-1 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2020
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Illustrations
39 farbige Abbildungen, 58 s/w Abbildungen
VII, 139 p. 97 illus., 39 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 9 mm
Weight
236 gr
ISBN-13
978-3-662-62198-1 (9783662621981)
DOI
10.1007/978-3-662-62199-8
Schweitzer Classification
Other editions
Additional editions

Abdelkader Hameurlain | A. Min Tjoa
Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII
E-Book
08/2020
Springer
€53.49
Available for download
Content
Role-Based Access Classification: Evaluating the Performance of Machine Learning Algorithms.- Top-k Queries over Distributed Uncertain Categorical Data.- On Knowledge Transfer from Cost-Based Optimization of Data-Centric Workflows to Business Process Redesign.- A New Knowledge Capitalization Framework in the Big Data Context through Shared Parameters Experiences.- DiNer - On Building Multilingual Disease-News Profiler.