Transactions On Large Scale Data And Knowledge Centered Systems Xvi
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Transactions on Large-Scale Data- and Knowledge-Centered Systems XVI
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. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 16th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of 7 papers, selected from the 30 papers presented at the International Conference on Advanced Computing and Applications, ACOMP 2013, held October 23-25, 2013, in Ho Chi Minh City, Vietnam. Topics covered include data engineering, information retrieval, query processing and optimization, energy-efficient resource allocation, and security and privacy.
Transactions on Large-Scale Data- and Knowledge-Centered Systems LVII
Author: Abdelkader Hameurlain
language: en
Publisher: Springer Nature
Release Date: 2024-10-24
The LNCS journal Transactions on Large-scale Data and Knowledge-centered Systemsfocuses on data management, knowledge discovery, and knowledge processing, which arecore and hot topics in computer science. Since the 1990s, the Internet has become the maindriving force behind application development in all domains. An increase in the demand forresource sharing (e.g. computing resources, services, metadata, data sources) across differentsites connected through networks has led to an evolution of data- and knowledge-managementsystems from centralized systems to decentralized systems enabling large-scale distributedapplications providing high scalability. This, the 57th issue of Transactions on Large-scale Data and Knowledge-centered Systems,contains five fully revised selected regular papers. Topics covered include leveraging machinelearning for effective data management, access control models, reciprocal authorizations,Internet of Things, digital forensics, code similarity search, volunteered geographicinformation, and spatial data quality.
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVII
This, the 27th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of 12 papers presented at the Big Data and Technology for Complex Urban Systems symposium, held in Kauai, HI, USA in January 2016. The papers explore the use of big data in complex urban systems in the areas of politics, society, commerce, tax, and emergency management.