Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII

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.

List of contents

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.

Product details

• Assisted by: Abdelkade Hameurlain (Editor), Abdelkader Hameurlain (Editor), Min Tjoa (Editor), Min Tjoa (Editor), A Min Tjoa (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.11.2020
• EAN: 9783662621981
• ISBN: 978-3-662-62198-1
• No. of pages: 139
• Dimensions: 157 mm x 9 mm x 235 mm
• Weight: 238 g
• Illustrations: VII, 139 p. 97 illus., 39 illus. in color.
• Series: Lecture Notes in Computer Science; Transactions on Large-Scale Data- and Knowledge-Centered Systems
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT