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

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

by Hameurlain, Abdelkader Tjoa, A. Min

Type Book
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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 …

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Title Statements

  • Full title :Transactions on large-scale data- and knowledge-centered systems XLIII / Abdelkader Hameurlain, A Min Tjoa (eds.).

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. 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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Edition Statements

  • Publication Date:2020.

Publication Statements

  • Publisher(s):Springer
  • Place of Publication:Berlin, Germany
  • Language:eng
  • Publication Date:2020.

Notes

Includes author index.

The Physical Object

  • Description:1 online resource

Edition Identifiers

  • ISBN:9783662621998, 3662621991
  • oclc:on1184055274
  • LC Classification:Q325.5
  • Dewey Decimal:006.3/1

Table 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.

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Subjects

Writers

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