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Hameurlain, Abdelkader.

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Transactions on large-scale data- and knowledge-centered systems XLIII

Record Type:	Electronic resources : Monograph/item
Title/Author:	Transactions on large-scale data- and knowledge-centered systems XLIII/ edited by Abdelkader Hameurlain, A Min Tjoa.
remainder title:	Transactions on large-scale data- and knowledge-centered systems 43
other author:	Hameurlain, Abdelkader.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2020.,
Description:	vii, 139 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Machine learning. -
Online resource:	https://doi.org/10.1007/978-3-662-62199-8
ISBN:	9783662621998

Transactions on large-scale data- and knowledge-centered systems XLIII
Transactions on large-scale data- and knowledge-centered systems XLIII[electronic resource] /Transactions on large-scale data- and knowledge-centered systems 43edited by Abdelkader Hameurlain, A Min Tjoa. - Berlin, Heidelberg :Springer Berlin Heidelberg :2020. - vii, 139 p. :ill., digital ;24 cm. - Lecture notes in computer science,121300302-9743 ;. - Lecture notes in computer science ;12130..

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.

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 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.

ISBN: 9783662621998

Standard No.: 10.1007/978-3-662-62199-8doiSubjects--Topical Terms:

533906
Machine learning.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Transactions on large-scale data- and knowledge-centered systems XLIII
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520 $a 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 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.
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