Transactions on Large-Scale Data- and Knowledge-Centered Systems XII
This, the 12th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include schema matching and schema mapping, update propagation in decision support systems, routing methods in peer-to-peer systems, distributed stream analytics and dynamic data partitioning.
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Transactions on Large-Scale Data- and Knowledge-Centered Systems XII
This, the 12th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include schema matching and schema mapping, update propagation in decision support systems, routing methods in peer-to-peer systems, distributed stream analytics and dynamic data partitioning.
54.99 In Stock
Transactions on Large-Scale Data- and Knowledge-Centered Systems XII

Transactions on Large-Scale Data- and Knowledge-Centered Systems XII

Transactions on Large-Scale Data- and Knowledge-Centered Systems XII

Transactions on Large-Scale Data- and Knowledge-Centered Systems XII

Paperback(2013)

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Overview

This, the 12th issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include schema matching and schema mapping, update propagation in decision support systems, routing methods in peer-to-peer systems, distributed stream analytics and dynamic data partitioning.

Product Details

ISBN-13: 9783642453144
Publisher: Springer Berlin Heidelberg
Publication date: 11/21/2013
Series: Lecture Notes in Computer Science , #8320
Edition description: 2013
Pages: 129
Product dimensions: 6.10(w) x 9.25(h) x 0.01(d)

Table of Contents

EvoMatch: An Evolutionary Algorithm for Inferring Schematic Correspondences.- Update Management in Decision Support Systems.- LRS: A Novel Learning Routing Scheme for Query Routing on Unstructured P2P Systems.- Open Streaming Operation Patterns.- Dynamic Workload-Based Partitioning Algorithms for Continuously Growing Databases.
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