1. DaWaK 1999: Florence, Italy

@proceedings{DBLP:conf/dawak/1999,
  editor    = {Mukesh K. Mohania and
               A. Min Tjoa},
  title     = {Data Warehousing and Knowledge Discovery, First International
               Conference, DaWaK '99, Florence, Italy, August 30 - September
               1, 1999, Proceedings},
  booktitle = {DaWaK},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1676},
  year      = {1999},
  isbn      = {3-540-66458-0},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Data Warehouse Design

• Dimitri Theodoratos, Timos K. Sellis:
  Dynamic Data Warehouse Design. 1-10
  
• Vivekanand Gopalkrishnan, Qing Li, Kamalakar Karlapalem:
  Star/Snow-Flake Schema Driven Object-Relational Data Warehouse - Design and Query Processing Strategies. 11-22
  
• Jorng-Tzong Horng, Jye Lu, Baw-Jhiune Liu, Ren-Dar Yang:
  The Design and Implementation of Modularized Wrappers/ Monitors in a Data Warehouse. 23-32
  
• Takao Miura, Wataru Matsumoto, Isamu Shioya:
  Managing Meta Objects for Design of Warehouse Data. 33-40
  

On-Line Analytical Processing

• Thomas Ruf, Jürgen Görlich, Ingo Reinfels:
  Dealing with Complex Reports in OLAP Applications. 41-54
  
• Qiming Chen, Umeshwar Dayal, Meichun Hsu:
  OLAP-based Scalable Profiling of Customer Behavior. 55-64
  
• Francesco Buccafurri, Domenico Rosaci, Domenico Saccà:
  Compressed Datacubes for fast OLAP Applications. 65-77
  
• Nikolaos Kotsis, Douglas R. McGregor:
  Compact Representation: An Approach to Efficient Implementation for the Data Warehouse Architecture. 78-85
  

View Maintenance, Selection and Optimisation

• Wookey Lee:
  On the Independence of Data Warehouse from Databases in Maintaining Join Views. 86-95
  
• Spyros Ligoudistianos, Timos K. Sellis, Dimitri Theodoratos, Yannis Vassiliou:
  Heuristic Algorithms for Designing a Data Warehouse with SPJ Views. 96-105
  
• Kevin O'Gorman, Divyakant Agrawal, Amr El Abbadi:
  Posse: A Framework for Optimizing Incremental View Maintenance at Data Warehouse. 106-115
  
• Chuan Zhang, Jian Yang:
  Genetic Algorithm for Materialized View Selection in Data Warehouse Environments. 116-125
  
• Antonio Badia, Matthew Niehues:
  Optimization of Sequences of Relational Queries in Decision-Support Environments. 126-131
  

Invited Talk

• Umeshwar Dayal, Qiming Chen, Meichun Hsu:
  Dynamic Data Warehousing (abstract). 132
  

Multidimensional Databases

• Jens Albrecht, Holger Günzel, Wolfgang Lehner:
  Set-Derivability of Multidimensional Aggregates. 133-142
  
• Christian Zirkelbach:
  Using the Real Dimension of the Data. 143-152
  
• Markus Blaschka, Carsten Sapia, Gabriele Höfling:
  On Schema Evolution in Multidimensional Databases. 153-164
  
• Jukka Kiviniemi, Antoni Wolski, Antti Pesonen, Johannes Arminen:
  Lazy Aggregates for Real-Time OLAP. 165-172
  

Knowledge Discovery

• Elena Baralis, Giuseppe Psaila:
  Incremental Refinement of Mining Queries. 173-182
  
• Aladdin Hafez, Jitender S. Deogun, Vijay V. Raghavan:
  The Item-Set Tree: A Data Structure for Data Mining. 183-192
  
• Rosa Meo:
  A New Approach for the Discovery of Frequent Itemsets. 193-202
  
• S. K. Gupta, K. Sambasiva Rao, Vasudha Bhatnagar:
  K-means Clustering Algorithm for Categorical Attributes. 203-208
  

Association Rules

• Yongqiao Xiao, Margaret H. Dunham:
  Considering Main Memory in Mining Association Rules. 209-218
  
• Giuseppe Psaila:
  Discovery of Association Rule Meta-Patterns. 219-228
  
• Yuping Yang, Mukesh Singhal:
  Fuzzy Functional Dependencies and Fuzzy Association Rules. 229-240
  
• Shiby Thomas, Sharma Chakravarthy:
  Performance Evaluation and Optimization of Join Queries for Association Rule Mining. 241-250
  

Indexing and Object Similarities

• Christian Böhm, Hans-Peter Kriegel:
  Efficient Bulk Loading of Large High-Dimensional Indexes. 251-260
  
• Stefan Berchtold, Christian Böhm, Hans-Peter Kriegel, Urs Michel:
  Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases. 261-270
  
• Heikki Mannila, Pirjo Moen:
  Similarity between Event Types in Sequences. 271-280
  

Generalised Association Rules and Data & Web Mining

• Iko Pramudiono, Takahiko Shintani, Takayuki Tamura, Masaru Kitsuregawa:
  Mining Generalized Association Rule Using Parallel RDB Engine on PC Cluster. 281-292
  
• Jean-François Boulicaut, Mika Klemettinen, Heikki Mannila:
  Modeling KDD Processes within the Inductive Database Framework. 293-302
  
• Sanjay Kumar Madria, Sourav S. Bhowmick, Wee Keong Ng, Ee-Peng Lim:
  Research Issues in Web Data Mining. 303-312
  
• M. C. Fernández, O. Delgado, J. I. López, M. A. Luna, José F. Martínez, J. F. B. Pardo, J. M. Peña:
  DAMISYS: An Overview. 313-317
  

Time Series Databases

• Roy Villafane, Kien A. Hua, Duc A. Tran, Basab Maulik:
  Mining Interval Time Series. 318-330
  
• Silvia Massa, Massimo Paolucci, Pier Paolo Puliafito:
  A New Modeling Technique Based on Markov Chains to Mine Behavioral Patterns in Event Based Time Series. 331-342
  
• Chang-Shing Perng, Douglas Stott Parker Jr.:
  SQL/LPP+: A Cascading Query Language for Temporal Correlation Verification. 343-352
  
• Peter Chamoni, Steffen Stock:
  Temporal Structures in Data Warehousing. 353-358
  

Data Mining Applications and Data Analysis

• Thomas Wittmann, Johannes Ruhland:
  Target Group Selection in Retail Banking through Neuro-Fuzzy Data Mining and Extensive Pre- and Postprocessing. 359-368
  
• Francesco Bonchi, Fosca Giannotti, Gianni Mainetto, Dino Pedreschi:
  Using Data Mining Techniques in Fiscal Fraud Detection. 369-376
  
• Pedro Furtado, Henrique Madeira:
  Analysis of Accuracy of Data Reduction Techniques. 377-388
  
• Vladimir Estivill-Castro, Ljiljana Brankovic:
  Data Swapping: Balancing Privacy against Precision in Mining for Logic Rules. 389-398