© 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. Knowledge Discovery

    1. Alaaeldin Hafez, Jitender Deogun, Vijay V. Raghavan
      Pages 183-192
    2. S K Gupta, K Sambasiva Rao, Vasudha Bhatnagar
      Pages 203-208
  2. Association Rules

    1. Yongqiao Xiao, Margaret H. Dunham
      Pages 209-218
    2. Giuseppe Psaila
      Pages 219-228
    3. Yuping Yang, Mukesh Singhal
      Pages 229-240
  3. Indexing and Object Similarities

    1. Christian Böhm, Hans-Peter Kriegel
      Pages 251-260
    2. Stefan Berchtold, Christian Böhm, Hans-Peter Kriegel, Urs Michel
      Pages 261-270
    3. Heikki Mannila, Pirjo Moen
      Pages 271-280
  4. Generalised Association Rules and Data & Web Mining

    1. Iko Pramudiono, Takahiko Shintani, Takayuki Tamura, Masaru Kitsuregawa
      Pages 281-292
    2. Jean-François Boulicaut, Mika Klemettinen, Heikki Mannila
      Pages 293-302
    3. Sanjay Kumar Madria, Sourav S Bhowmick, W. -K Ng, E. P. Lim
      Pages 303-312
    4. M. C. Fernández, O. Delgado, J. I. López, M. A. Luna, J. F. Martínez, J. F. B. Pardo et al.
      Pages 313-317
  5. Time Series Databases

    1. Roy Villafane, Kien A. Hua, Duc Tran, Basab Maulik
      Pages 318-330
    2. Chang-Shing Perng, D. Stott Parker
      Pages 343-352
    3. Peter Chamoni, Steffen Stock
      Pages 353-358
  6. Data Mining Applications and Data Analysis

    1. F. Bonchi, F. Giannotti, G. Mainetto, D. Pedreschi
      Pages 369-376

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