DataWarehousing and Knowledge Discovery: First International Conference, DaWaK’99 Florence, Italy, August 30 – September 1, 1999 Proceedings

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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.

Author(s): Dimitri Theodoratos, Timos Sellis (auth.), Mukesh Mohania, A Min Tjoa (eds.)
Series: Lecture Notes in Computer Science 1676
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1999

Language: English
Pages: 408
Tags: Database Management; Information Storage and Retrieval; Artificial Intelligence (incl. Robotics); Computer Communication Networks; Information Systems Applications (incl.Internet)

Dynamic Data Warehouse Design....Pages 1-10
Star/Snow-Flake Schema Driven Object-Relational Data Warehouse Design and Query Processing Strategies....Pages 11-22
The Design and Implementation of Modularized Wrappers/Monitors in a Data Warehouse....Pages 23-32
Managing Meta Objects for Design of Warehouse Data....Pages 33-40
Dealing with Complex Reports in OLAP Applications....Pages 41-54
OLAP-based Scalable Profiling of Customer Behavior....Pages 55-64
Compressed Datacubes for Fast OLAP Applications....Pages 65-77
Compact Representation: An Approach to Efficient Implementation for the Data Warehouse Architecture....Pages 78-85
On the Independence of Data Warehouse from Databases in Maintaining Join Views....Pages 86-95
Heuristic Algorithms for Designing a Data Warehouse with SPJ Views....Pages 96-105
POSSE: A Framework for Optimizing Incremental View Maintenance at Data Warehouses....Pages 106-115
Genetic Algorithm for Materialized View Selection in Data Warehouse Environments....Pages 116-125
Optimization of Sequences of Relational Queries in Decision-Support Environments....Pages 126-131
Dynamic Data Warehousing....Pages 132-132
Set-Derivability of Multidimensional Aggregates....Pages 133-142
Using the Real Dimension of the Data....Pages 143-152
On Schema Evolution in Multidimensional Databases....Pages 153-164
Lazy Aggregates for Real-Time OLAP....Pages 165-172
Incremental Refinement of Mining Queries....Pages 173-182
The Item-Set Tree: A Data Structure for Data Mining....Pages 183-192
A New Approach for the Discovery of Frequent Itemsets....Pages 193-202
K-means Clustering Algorithm for Categorical Attributes....Pages 203-208
Considering Main Memory in Mining Association Rules....Pages 209-218
Discovery of Association Rule Meta-Patterns....Pages 219-228
Fuzzy Functional Dependencies and Fuzzy Association Rules....Pages 229-240
Performance Evaluation and Optimization of Join Queries for Association Rule Mining....Pages 241-250
Efficient Bulk Loading of Large High-Dimensional Indexes....Pages 251-260
Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases....Pages 261-270
Similarity between Event Types in Sequences....Pages 271-280
Mining Generalized Association Rule Using Parallel RDB Engine on PC Cluster....Pages 281-292
Modeling KDD Processes within the Inductive Database Framework....Pages 293-302
Research Issues in Web Data Mining....Pages 303-312
DAMISYS: An Overview....Pages 313-317
Mining Interval Time Series....Pages 318-330
A New Modeling Technique Based on Markov Chains to Mine Behavioral Patterns in Event Based Time Series....Pages 331-342
SQL/LPP+: A Cascading Query Language for Temporal Correlation Verification....Pages 343-352
Temporal Structures in Data Warehousing....Pages 353-358
Target Group Selection in Retail Banking through Neuro-Fuzzy Data Mining and Extensive Pre- and Postprocessing....Pages 359-368
Using Data Mining Techniques in Fiscal Fraud Detection....Pages 369-376
Analysis of Accuracy of Data Reduction Techniques....Pages 377-388
Data Swapping: Balancing Privacy against Precision in Mining for Logic Rules....Pages 389-398