Data Warehousing and Knowledge Discovery

1. Front Matter

   Pages I-XII

   PDF

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

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.

• Data warehousing
• Web Mining
• algorithms
• data analysis
• data mining
• data warehouse
• database
• design
• genetic algorithms
• knowledge discovery
• optimization
• performance
• performance evaluation
• relational database
• verification

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

  Mukesh Mohania

• IFS, Technical University of Vienna, Vienna, Austria

  A Min Tjoa

Policies and ethics