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Data Warehousing and Knowledge Discovery

6th International Conference, DaWaK 2004, Zaragoza, Spain, September 1-3, 2004, Proceedings

  • Conference proceedings
  • © 2004

Overview

Editors:
  1. Yahiko Kambayashi

    1. Graduate School of Informatics, Kyoto University, Sakyo, Kyoto, Japan

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  2. Mukesh Mohania

    1. I.B.M. India Research Lab,, India

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    You can also search for this editor in PubMed   Google Scholar

  3. Wolfram Wöß

    1. Institute for Application Oriented Knowledge Processing (FAW), Johannes Kepler University Linz, Austria

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3181)

Included in the following conference series:

Conference proceedings info: DaWaK 2004.

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Table of contents (40 papers)

  1. Front Matter

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  2. Data Warehousing Design

    1. Conceptual Design of XML Document Warehouses

      • Vicky Nassis, R. Rajugan, Tharam S. Dillon, Wenny Rahayu
      Pages 1-14

    2. Bringing Together Partitioning, Materialized Views and Indexes to Optimize Performance of Relational Data Warehouses

      • Ladjel Bellatreche, Michel Schneider, Hervé Lorinquer, Mukesh Mohania
      Pages 15-25

    3. GeoDWFrame: A Framework for Guiding the Design of Geographical Dimensional Schemas

      • Robson N. Fidalgo, Valéria C. Times, Joel Silva, Fernando F. Souza
      Pages 26-37

    4. Workload-Based Placement and Join Processing in Node-Partitioned Data Warehouses

      • Pedro Furtado
      Pages 38-47

  3. Knowledge Discovery Framework and XML Data Minig

    1. Novelty Framework for Knowledge Discovery in Databases

      • Ahmed Sultan Al-Hegami, Vasudha Bhatnagar, Naveen Kumar
      Pages 48-57

    2. Revisiting Generic Bases of Association Rules

      • S. Ben Yahia, E. Mephu Nguifo
      Pages 58-67

    3. Mining Maximal Frequently Changing Subtree Patterns from XML Documents

      • Ling Chen, Sourav S. Bhowmick, Liang-Tien Chia
      Pages 68-76

    4. Discovering Pattern-Based Dynamic Structures from Versions of Unordered XML Documents

      • Qiankun Zhao, Sourav S. Bhowmick, Sanjay Madria
      Pages 77-86

  4. Data Cubes and Queries

    1. Space-Efficient Range-Sum Queries in OLAP

      • Fredrik Bengtsson, Jingsen Chen
      Pages 87-96

    2. Answering Approximate Range Aggregate Queries on OLAP Data Cubes with Probabilistic Guarantees

      • Alfredo Cuzzocrea, Wei Wang, Ugo Matrangolo
      Pages 97-107

    3. Computing Complex Iceberg Cubes by Multiway Aggregation and Bounding

      • LienHua Pauline Chou, Xiuzhen Zhang
      Pages 108-117

  5. Multidimensional Schema and Data Aggregation

    1. An Aggregate-Aware Retargeting Algorithm for Multiple Fact Data Warehouses

      • Karin Beckera, Duncan Dubugras Ruiz
      Pages 118-128

    2. A Partial Pre-aggregation Scheme for HOLAP Engines

      • Wo-Shun Luk, Chao Li
      Pages 129-137

    3. Discovering Multidimensional Structure in Relational Data

      • Mikael R. Jensen, Thomas Holmgren, Torben Bach Pedersen
      Pages 138-148

  6. Inductive Databases and Temporal Rules

    1. Inductive Databases as Ranking

      • Taneli Mielikäinen
      Pages 149-158

    2. Inductive Databases of Polynomial Equations

      • Sašo Džeroski, Ljupčo Todorovski, Peter Ljubič
      Pages 159-168

    3. From Temporal Rules to Temporal Meta-rules

      • Paul Cotofrei, Kilian Stoffel
      Pages 169-178

  7. Industrial Track

    1. How Is BI Used in Industry?: Report from a Knowledge Exchange Network

      • Torben Bach Pedersen
      Pages 179-188

    2. Towards an Adaptive Approach for Mining Data Streams in Resource Constrained Environments

      • Mohamed Medhat Gaber, Arkady Zaslavsky, Shonali Krishnaswamy
      Pages 189-198
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  1. Data Warehousing and Knowledge Discovery

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Editors and Affiliations

  • Graduate School of Informatics, Kyoto University, Sakyo, Kyoto, Japan

    Yahiko Kambayashi

  • I.B.M. India Research Lab,, India

    Mukesh Mohania

  • Institute for Application Oriented Knowledge Processing (FAW), Johannes Kepler University Linz, Austria

    Wolfram Wöß

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