Transactions on large-scale data- and knowledge-centered systems XLIX : special issue on data management - principles, technologies and applications / Abdelkader Hameurlain, A Min Tjoa, Bernd Amann, François Goasdoué (eds.).
2021
QA76.545 .T73 2021
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Title
Transactions on large-scale data- and knowledge-centered systems XLIX : special issue on data management - principles, technologies and applications / Abdelkader Hameurlain, A Min Tjoa, Bernd Amann, François Goasdoué (eds.).
ISBN
9783662641484 (electronic bk.)
3662641488 (electronic bk.)
9783662641477
366264147X
3662641488 (electronic bk.)
9783662641477
366264147X
Published
Berlin : Springer, [2021]
Copyright
©2021
Language
English
Description
1 online resource : illustrations (some color).
Item Number
10.1007/978-3-662-64148-4 doi
Call Number
QA76.545 .T73 2021
Dewey Decimal Classification
005.74
Summary
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 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 49th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains four fully revised and extended papers selected from the 36th conference on Data Management - Principles, Technologies and Applications, BDA 2020. The topics cover a wide range of timely data management research topics on crowdsourcing, data streams, skyline queries and data protection.
Note
International conference proceedings.
Includes author index.
Includes author index.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 8, 2021).
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Series
Lecture notes in computer science ; 12920.
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Table of Contents
Temporal Aggregation of Spanning Event Stream: An Extended Framework to Handle the Many Stream Models
Reducing the Cost of Aggregation in Crowdsourcing
A Partitioning Approach for Skyline Queries in Presence of Partial and Dynamic Orders
Ensuring License Compliance in Linked Data with Query Relaxation.
Reducing the Cost of Aggregation in Crowdsourcing
A Partitioning Approach for Skyline Queries in Presence of Partial and Dynamic Orders
Ensuring License Compliance in Linked Data with Query Relaxation.