Transactions on large-scale data- and knowledge-centered systems XVII [electronic resource] : selected papers from DaWaK 2013 / Abdelkader Hameurlain, Josef Küng, Roland Wagner, Ladjel Bellatreche, Mukesh Mohania (eds.).
2015
QA76.9.D37 T73 2015eb
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Title
Transactions on large-scale data- and knowledge-centered systems XVII [electronic resource] : selected papers from DaWaK 2013 / Abdelkader Hameurlain, Josef Küng, Roland Wagner, Ladjel Bellatreche, Mukesh Mohania (eds.).
ISBN
9783662463352 electronic book
3662463350 electronic book
9783662463345
3662463342
3662463350 electronic book
9783662463345
3662463342
Published
Heidelberg : Springer, [2015]
Copyright
©2015
Language
English
Description
1 online resource (xiii, 129 pages) : illustrations.
Item Number
10.1007/978-3-662-46335-2 doi
Call Number
QA76.9.D37 T73 2015eb
Dewey Decimal Classification
005.74/5
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 17th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains extended and revised versions of five papers, selected from the 24 full and 8 short papers presented at the 15th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2013, held in Prague, The Czech Republic, in August 2013. Of the five papers, two cover data warehousing aspects related to query processing optimization in advanced platforms, specifically Map Reduce and parallel databases, and three cover knowledge discovery, specifically the causal network inference problem, dimensionality reduction, and the quality-of-pattern-mining task.
Note
Includes author index.
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Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 9, 2015).
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Series
Lecture notes in computer science ; 8970.
Transactions on large-scale data- and knowledge-centered systems ; 17.
Transactions on large-scale data- and knowledge-centered systems ; 17.
Available in Other Form
Print version: 9783662463345
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Table of Contents
Data Warehouse Processing Scale-Up for Massive Concurrent Queries with SPIN
An Uncoupled Data Process and Transfer Model for Map Reduce
Enhanced Fast Causal Network Inference over Event Streams
Learning Through Non-linearly Supervised Dimensionality Reduction
Metrics for Association Rule Clustering Assessment.
An Uncoupled Data Process and Transfer Model for Map Reduce
Enhanced Fast Causal Network Inference over Event Streams
Learning Through Non-linearly Supervised Dimensionality Reduction
Metrics for Association Rule Clustering Assessment.