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Data Warehousing and Knowledge Discovery

13th International Conference, DaWaK 2011, Toulouse, France, August 29- September 2, 2011, Proceedings

  • Conference proceedings
  • © 2011

Overview

Editors:
  1. Alfredo Cuzzocrea

    1. ICAR-CNR and University of Calabria, Rende (CS), Italy

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    You can also search for this editor in PubMed   Google Scholar

  2. Umeshwar Dayal

    1. Hewlett-Packard Labs, Palo Alto, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6862)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

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Conference proceedings info: DaWaK 2011.

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Table of contents (37 papers)

  1. Front Matter

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  2. Physical and Conceptual Data Warehouse Models

    1. ONE: A Predictable and Scalable DW Model

      • João Pedro Costa, José Cecílio, Pedro Martins, Pedro Furtado
      Pages 1-13

    2. The Planning OLAP Model - A Multidimensional Model with Planning Support

      • Bernhard Jaecksch, Wolfgang Lehner
      Pages 14-25

    3. Extending the Dimensional Templates Approach to Integrate Complex Multidimensional Design Concepts

      • Rui Oliveira, Fátima Rodrigues, Paulo Martins, João Paulo Moura
      Pages 26-38

    4. OLAP Formulations for Supporting Complex Spatial Objects in Data Warehouses

      • Ganesh Viswanathan, Markus Schneider
      Pages 39-50

  3. Data Warehousing Design Methodologies and Tools

    1. Multidimensional Database Design from Document-Centric XML Documents

      • Geneviève Pujolle, Franck Ravat, Olivier Teste, Ronan Tournier, Gilles Zurfluh
      Pages 51-65

    2. Modern Software Engineering Methodologies Meet Data Warehouse Design: 4WD

      • Matteo Golfarelli, Stefano Rizzi, Elisa Turricchia
      Pages 66-79

    3. GEM: Requirement-Driven Generation of ETL and Multidimensional Conceptual Designs

      • Oscar Romero, Alkis Simitsis, Alberto Abelló
      Pages 80-95

  4. ETL Methodologies and Tools

    1. ETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce

      • Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen
      Pages 96-111

    2. Complementing Data in the ETL Process

      • Lívia de S. Ribeiro, Ronaldo R. Goldschmidt, Maria Cláudia Cavalcanti
      Pages 112-123

    3. TTL: A Transformation, Transference and Loading Approach for Active Monitoring

      • Emma Chávez, Gavin Finnie
      Pages 124-135

    4. Support for User Involvement in Data Cleaning

      • Helena Galhardas, Antónia Lopes, Emanuel Santos
      Pages 136-151

  5. Data Warehouse Performance and Optimization

    1. Efficient Processing of Drill-across Queries over Geographic Data Warehouses

      • Jaqueline Joice Brito, Thiago Luís Lopes Siqueira, Valéria Cesário Times, Ricardo Rodrigues Ciferri, Cristina Dutra de Ciferri
      Pages 152-166

    2. The NOX OLAP Query Model: From Algebra to Execution

      • Ahmad Taleb, Todd Eavis, Hiba Tabbara
      Pages 167-183

    3. VarDB: High-Performance Warehouse Processing with Massive Ordering and Binary Search

      • Pedro Martins, João Costa, José Cecílio, Pedro Furtado
      Pages 184-195

  6. Data Warehouse Partitioning Techniques

    1. Vertical Fragmentation of XML Data Warehouses Using Frequent Path Sets

      • Doulkifli Boukraâ, Omar Boussaïd, Fadila Bentayeb
      Pages 196-207

    2. Implementing Vertical Splitting for Large Scale Multidimensional Datasets and Its Evaluations

      • Takayuki Tsuchida, Tatsuo Tsuji, Ken Higuchi
      Pages 208-223

  7. Analytics over Large Multidimensional Datasets

    1. Describing Analytical Sessions Using a Multidimensional Algebra

      • Oscar Romero, Patrick Marcel, Alberto Abelló, Verónika Peralta, Ladjel Bellatreche
      Pages 224-239

    2. Tagged MapReduce: Efficiently Computing Multi-analytics Using MapReduce

      • Andreas Williams, Pavlos Mitsoulis-Ntompos, Damianos Chatziantoniou
      Pages 240-251

  8. Pattern Mining

    1. Frequent Pattern Mining from Time-Fading Streams of Uncertain Data

      • Carson Kai-Sang Leung, Fan Jiang
      Pages 252-264
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About this book

This book constitutes the refereed proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2011 held in Toulouse, France in August/September 2011. The 37 revised full papers presented were carefully reviewed and selected from 119 submissions. The papers are organized in topical sections on physical and conceptual data warehouse models, data warehousing design methodologies and tools, data warehouse performance and optimization, pattern mining, matrix-based mining techniques and stream, sensor and time-series mining.

Editors and Affiliations

  • ICAR-CNR and University of Calabria, Rende (CS), Italy

    Alfredo Cuzzocrea

  • Hewlett-Packard Labs, Palo Alto, USA

    Umeshwar Dayal

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