© 1999

DataWarehousing and Knowledge Discovery

First International Conference, DaWaK’99 Florence, Italy, August 30 – September 1, 1999 Proceedings

  • Mukesh Mohania
  • A Min Tjoa
Conference proceedings DaWaK 1999

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

Table of contents

  1. Front Matter
    Pages I-XII
  2. Data Warehouse Design

    1. Dimitri Theodoratos, Timos Sellis
      Pages 1-10
    2. Vivekanand Gopalkrishnan, Qing Li, Kamalakar Karlapalem
      Pages 11-22
    3. Jorng-Tzong Horng, Jye Lu, Baw-Jhiune Liu, Ren-Dar Yang
      Pages 23-32
    4. Takao Miura, Wataru Matsumoto, Isamu Shioya
      Pages 33-40
  3. On-Line Analytical Processing

    1. Thomas Ruf, Juergen Goerlich, Ingo Reinfels
      Pages 41-54
    2. Qiming Chen, Umesh Dayal, Meichun Hsu
      Pages 55-64
    3. Francesco Buccafurri, Domenico Rosaci, Domenico Saccá
      Pages 65-77
  4. View Maintenance, Selection and Optimisation

    1. Spyros Ligoudistianos, Timos Sellis, Dimitri Theodoratos, Yannis Vassiliou
      Pages 96-105
    2. Kevin O’Gorman, Divyakant Agrawal, Amr El Abbadi
      Pages 106-115
  5. Invited Talk

    1. Umeshwar Dayal, Qiming Chen, Meichun Hsu
      Pages 132-132
  6. Multidimensional Databases

    1. J. Albrecht, H. Günzel, W. Lehner
      Pages 133-142
    2. Christian Zirkelbach
      Pages 143-152
    3. Markus Blaschka, Carsten Sapia, Gabriele Höfling
      Pages 153-164
    4. Jukka Kiviniemi, Antoni Wolski, Antti Pesonen, Johannes Arminen
      Pages 165-172
  7. Knowledge Discovery

    1. Elena Baralis, Giuseppe Psaila
      Pages 173-182

About these proceedings


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

Editors and affiliations

  • Mukesh Mohania
    • 1
  • A Min Tjoa
    • 2
  1. 1.School of Computer and Information ScienceUniversity of South AustraliaAdelaideAustralia
  2. 2.IFSTechnical University of ViennaViennaAustria

Bibliographic information