Data Warehousing and Knowledge Discovery : First International Conference, DaWaK'99 Florence, Italy, August 30 - September 1, 1999 Proceedings - Mukesh Mohania

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Data Warehousing and Knowledge Discovery

First International Conference, DaWaK'99 Florence, Italy, August 30 - September 1, 1999 Proceedings

By: Mukesh Mohania (Editor), A Min Tjoa (Editor)

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Paperback | 20 August 1999

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420 Pages

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23.5 x 15.88 x 2.54

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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.

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Non-Fiction Computing & I.T.Databases Data Mining Data Warehousing Business & Management Business Mathematics & Systems Medicine Medicine in General Computer Programming & Software Development Algorithms & Data Structures Computer Science

Artificial Intelligence

Data Warehouse Design
Dynamic Data Warehouse Design	p. 1
Star/Snow-Flake Schema Driven Object-Relational Data Warehouse Design and Query Processing Strategies	p. 11
The Design and Implementation of Modularized Wrappers/Monitors in a Data Warehouse	p. 23
Managing Meta Objects for Design of Warehouse Data	p. 33
On-Line Analytical Processing
Dealing with Complex Reports in OLAP Applications	p. 41
OLAP-based Scalable Profiling of Customer Behavior	p. 55
Compressed Datacubes for Fast OLAP Applications	p. 65
Compact Representation: An Approach to Efficient Implementation for the Data Warehouse Architecture	p. 78
View Maintenance, Selection and Optimisation
On the Independence of Data Warehouse from Databases in Maintaining Join Views	p. 86
Heuristic Algorithms for Designing a Data Warehouse with SPJ Views	p. 96
POSSE: A Framework for Optimizing Incremental View Maintenance at Data Warehouses	p. 106
Genetic Algorithm for Materialized View Selection in Data Warehouse Environments	p. 116
Optimization of Sequences of Relational Queries in Decision-Support Environments	p. 126
Invited Talk
Dynamic Data Warehousing	p. 132
Multidimensional Databases
Set-Derivability of Multidimensional Aggregates	p. 133
Using the Real Dimension of the Data	p. 143
On Schema Evolution in Multidimensional Databases	p. 153
Lazy Aggregates for Real-Time OLAP	p. 165
Knowledge Discovery
Incremental Refinement of Mining Queries	p. 173
The Item-Set Tree: A Data Structure for Data Mining	p. 183
A New Approach for the Discovery of Frequent Itemsets	p. 193
K-means Clustering Algorithm for Categorical Attributes	p. 203
Association Rules
Considering Main Memory in Mining Association Rules	p. 209
Discovery of Association Rule Meta-Patterns	p. 219
Fuzzy Functional Dependencies and Fuzzy Association Rules	p. 229
Performance Evaluation and Optimization of Join Queries for Association Rule Mining	p. 241
Indexing and Object Similarities
Efficient Bulk Loading of Large High-Dimensional Indexes	p. 251
Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases	p. 261
Similarity between Event Types in Sequences	p. 271
Generalised Association Rules and Data & Web Mining
Mining Generalized Association Rule Using Parallel RDB Engine on PC Cluster	p. 281
Modeling KDD Processes within the Inductive Database Framework	p. 293
Research Issues in Web Data Mining	p. 303
DAMISYS: An Overview	p. 313
Time Series Databases
Mining Interval Time Series	p. 318
A New Modeling Technique Based on Markov Chains to Mine Behavioral Patterns in Event Based Time Series	p. 331
SQL/LPP+: A Cascading Query Language for Temporal Correlation Verification	p. 343
Temporal Structures in Data Warehousing	p. 353
Data Mining Applications and Data Analysis
Target Group Selection in Retail Banking through Neuro-Fuzzy Data Mining and Extensive Pre- and Postprocessing	p. 359
Using Data Mining Techniques in Fiscal Fraud Detection	p. 369
Analysis of Accuracy of Data Reduction Techniques	p. 377
Data Swapping: Balancing Privacy against Precision in Mining for Logic Rules	p. 389
Author Index	p. 399
Table of Contents provided by Publisher. All Rights Reserved.

Data Warehousing and Knowledge Discovery

First International Conference, DaWaK'99 Florence, Italy, August 30 - September 1, 1999 Proceedings

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Paperback

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