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Transactions on Large-Scale Data- and Knowledge-Centered Systems XLV Special Issue on Data Management and Knowledge Extraction in Digital Ecosystems
Title
Transactions on Large-Scale Data- and Knowledge-Centered Systems XLV [electronic resource] : Special Issue on Data Management and Knowledge Extraction in Digital Ecosystems / edited by Abdelkader Hameurlain, A Min Tjoa, Richard Chbeir, Yannis Manolopoulos, Hiroshi Ishikawa, Sergio Ilarri, Apostolos Papadopoulos.
ISBN
9783662623084
Edition
1st ed. 2020.
Publication
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2020.
Physical Description
1 online resource (XIII, 221 p.) 122 illus., 85 illus. in color.
Local Notes
Access is available to the Yale community.
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Access restricted by licensing agreement.
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 (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 45th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight revised selected regular papers. Topics covered include data analysis, information extraction, blockchains, and big data.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
September 21, 2020
Series
Transactions on Large-Scale Data- and Knowledge-Centered Systems, 12390
Contents
Interoperable Data Extraction and Analytics Queries over Blockchains
Exploiting Twitter for Informativeness Classification in Disaster Situations
COTILES: Leveraging Content and Structure for Evolutionary Community Detection
A Weighted Feature-Based Image Quality Assessment Framework in Real-Time
Sharing Knowledge in Digital Ecosystems Using Semantic Multimedia Big Data
Facilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments Using Web and Microservice Technologies
Stable Marriage Matching for Homogenizing Load Distribution in a Cloud Data Center
A Sentiment Analysis Software Framework for the Support of Business Information Architecture in the Tourist Sector.
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