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

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

Special Issue on Data Warehousing and Knowledge Discovery

Herausgeber: Hameurlain, A., Küng, J., Wagner, R., Bellatreche, L., Mohania, M. (Eds.)

  • Contains extended and revised version of the best papers selected from DaWaK 2014
  • Papers focus on aspects of data warehousing and knowledge discovery
  • Topics range from data cube computation to pattern-mining algorithms
Weitere Vorteile

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eBook 44,02 €
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  • ISBN 978-3-662-49784-5
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Softcover 57,78 €
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  • ISBN 978-3-662-49783-8
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  • Gewöhnlich versandfertig in 3-5 Werktagen.
Über dieses Buch

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 volume, the 26th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, focuses on Data Warehousing and Knowledge Discovery from Big Data, and contains extended and revised versions of four papers selected as the best papers from the 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2014), held in Munich, Germany, during September 1-5, 2014. The papers focus on data cube computation, the construction and analysis of a data warehouse in the context of cancer epidemiology, pattern mining algorithms, and frequent item-set border approximation.

Inhaltsverzeichnis (4 Kapitel)

  • Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data

    Abdullahi, Fatimah B. (et al.)

    Seiten 1-31

  • Frequent Itemset Border Approximation by Dualization

    Durand, Nicolas (et al.)

    Seiten 32-60

  • Dynamic Materialization for Building Personalized Smart Cubes

    Antwi, Daniel K. (et al.)

    Seiten 61-88

  • Opening Up Data Analysis for Medical Health Services: Data Integration and Analysis in Cancer Registries with CARESS

    Korfkamp, David (et al.)

    Seiten 89-107

Dieses Buch kaufen

eBook 44,02 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-662-49784-5
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: PDF, EPUB
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Softcover 57,78 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-662-49783-8
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
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Bibliografische Information

Bibliographic Information
Buchtitel
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVI
Buchuntertitel
Special Issue on Data Warehousing and Knowledge Discovery
Herausgeber
  • Abdelkader Hameurlain
  • Josef Küng
  • Roland Wagner
  • Ladjel Bellatreche
  • Mukesh Mohania
Titel der Buchreihe
Transactions on Large-Scale Data- and Knowledge-Centered Systems
Buchreihen Band
9670
Copyright
2016
Verlag
Springer-Verlag Berlin Heidelberg
Copyright Inhaber
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-662-49784-5
DOI
10.1007/978-3-662-49784-5
Softcover ISBN
978-3-662-49783-8
Buchreihen ISSN
1869-1994
Auflage
1
Seitenzahl
XI, 109
Anzahl der Bilder und Tabellen
43 schwarz-weiß Abbildungen
Themen