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Data Warehousing and Knowledge Discovery

First International Conference, DaWaK'99 Florence, Italy, August 30 - September 1, 1999 Proceedings

  • Conference proceedings
  • © 1999

Overview

Editors:
  1. Mukesh Mohania

    1. School of Computer and Information Science, University of South Australia, Adelaide, Australia

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    You can also search for this editor in PubMed   Google Scholar

  2. A Min Tjoa

    1. IFS, Technical University of Vienna, Vienna, Austria

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1676)

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Table of contents (41 papers)

  1. Front Matter

    Pages I-XII
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  2. Data Warehouse Design

    1. Dynamic Data Warehouse Design

      • Dimitri Theodoratos, Timos Sellis
      Pages 1-10

    2. Star/Snow-Flake Schema Driven Object-Relational Data Warehouse Design and Query Processing Strategies

      • Vivekanand Gopalkrishnan, Qing Li, Kamalakar Karlapalem
      Pages 11-22

    3. The Design and Implementation of Modularized Wrappers/Monitors in a Data Warehouse

      • Jorng-Tzong Horng, Jye Lu, Baw-Jhiune Liu, Ren-Dar Yang
      Pages 23-32

    4. Managing Meta Objects for Design of Warehouse Data

      • Takao Miura, Wataru Matsumoto, Isamu Shioya
      Pages 33-40

  3. On-Line Analytical Processing

    1. Dealing with Complex Reports in OLAP Applications

      • Thomas Ruf, Juergen Goerlich, Ingo Reinfels
      Pages 41-54

    2. OLAP-based Scalable Profiling of Customer Behavior

      • Qiming Chen, Umesh Dayal, Meichun Hsu
      Pages 55-64

    3. Compressed Datacubes for Fast OLAP Applications

      • Francesco Buccafurri, Domenico Rosaci, Domenico Saccá
      Pages 65-77

    4. Compact Representation: An Approach to Efficient Implementation for the Data Warehouse Architecture

      • Nikolaos Kotsis, Douglas R. McGregor
      Pages 78-85

  4. View Maintenance, Selection and Optimisation

    1. On the Independence of Data Warehouse from Databases in Maintaining Join Views

      • Wookey Lee
      Pages 86-95

    2. Heuristic Algorithms for Designing a Data Warehouse with SPJ Views

      • Spyros Ligoudistianos, Timos Sellis, Dimitri Theodoratos, Yannis Vassiliou
      Pages 96-105

    3. POSSE: A Framework for Optimizing Incremental View Maintenance at Data Warehouses

      • Kevin O’Gorman, Divyakant Agrawal, Amr El Abbadi
      Pages 106-115

    4. Genetic Algorithm for Materialized View Selection in Data Warehouse Environments

      • Chuan Zhang, Jian Yang
      Pages 116-125

    5. Optimization of Sequences of Relational Queries in Decision-Support Environments

      • Antonio Badia, Matthew Niehues
      Pages 126-131

  5. Invited Talk

    1. Dynamic Data Warehousing

      • Umeshwar Dayal, Qiming Chen, Meichun Hsu
      Pages 132-132

  6. Multidimensional Databases

    1. Set-Derivability of Multidimensional Aggregates

      • J. Albrecht, H. Günzel, W. Lehner
      Pages 133-142

    2. Using the Real Dimension of the Data

      • Christian Zirkelbach
      Pages 143-152

    3. On Schema Evolution in Multidimensional Databases

      • Markus Blaschka, Carsten Sapia, Gabriele Höfling
      Pages 153-164

    4. Lazy Aggregates for Real-Time OLAP

      • Jukka Kiviniemi, Antoni Wolski, Antti Pesonen, Johannes Arminen
      Pages 165-172

  7. Knowledge Discovery

    1. Incremental Refinement of Mining Queries

      • Elena Baralis, Giuseppe Psaila
      Pages 173-182
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Keywords

About this book

This book constitutes the refereed proceedings of the First International Conference on Data Warehousing and Knowledge Discovery, DaWaK'99, held in Florence, Italy in August/September 1999. The 31 revised full papers and nine short papers presented were carefully reviewed and selected from 88 submissions. The book is divided in topical sections on data warehouse design; online analytical processing; view synthesis, selection, and optimization; multidimensional databases; knowledge discovery; association rules; inexing and object similarities; generalized association rules and data and web mining; time series data bases; data mining applications and data analysis.

Editors and Affiliations

  • School of Computer and Information Science, University of South Australia, Adelaide, Australia

    Mukesh Mohania

  • IFS, Technical University of Vienna, Vienna, Austria

    A Min Tjoa

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