Skip to main content
SpringerLink
Log in

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

Special Issue on Data Warehousing and Knowledge Discovery

  • Book
  • © 2016

Overview

Editors:
  1. Abdelkader Hameurlain

    1. IRIT, Paul Sabatier University, Toulouse, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Josef Küng

    1. FAW, University of Linz, Linz, Austria

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Roland Wagner

    1. FAW, University of Linz, Linz, Austria

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Ladjel Bellatreche

    1. LIAS/ISAE-ENSMA, Chasseneuil, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Mukesh Mohania

    1. IBM India Research Lab, New Delhi, India

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • 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
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9670)

Part of the book sub series: Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLDKS)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (4 chapters)

  1. Front Matter

    Pages I-XI
    Download chapter PDF

  2. Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data

    • Fatimah B. Abdullahi, Frans Coenen, Russell Martin
    Pages 1-31

  3. Frequent Itemset Border Approximation by Dualization

    • Nicolas Durand, Mohamed Quafafou
    Pages 32-60

  4. Dynamic Materialization for Building Personalized Smart Cubes

    • Daniel K. Antwi, Herna L. Viktor
    Pages 61-88

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

    • David Korfkamp, Stefan Gudenkauf, Martin Rohde, Eunice Sirri, Joachim Kieschke, Kolja Blohm et al.
    Pages 89-107

  6. Back Matter

    Pages 109-109
    Download chapter PDF
Back to top

Keywords

About this book

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.

Editors and Affiliations

  • IRIT, Paul Sabatier University, Toulouse, France

    Abdelkader Hameurlain

  • FAW, University of Linz, Linz, Austria

    Josef Küng, Roland Wagner

  • LIAS/ISAE-ENSMA, Chasseneuil, France

    Ladjel Bellatreche

  • IBM India Research Lab, New Delhi, India

    Mukesh Mohania

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation