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Data Warehousing and Knowledge Discovery : First International Conference, DaWaK'99 Florence, Italy, August 30 - September 1, 1999 Proceedings / edited by Mukesh Mohania, A Min Tjoa.

LIBRA Q341 .P7 2004
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Format:
Book
Contributor:
Mohania, Mukesh, editor.
Tjoa, A Min, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science 0302-9743 ; 1676.
Lecture Notes in Computer Science, 0302-9743 ; 1676
Language:
English
Subjects (All):
Data structures (Computer science).
Database management.
Information storage and retrieval.
Artificial intelligence.
Computer networks.
Application software.
Data Structures and Information Theory.
Database Management.
Information Storage and Retrieval.
Artificial Intelligence.
Computer Communication Networks.
Information Systems Applications (incl. Internet).
Local Subjects:
Data Structures and Information Theory.
Database Management.
Information Storage and Retrieval.
Artificial Intelligence.
Computer Communication Networks.
Information Systems Applications (incl. Internet).
Physical Description:
1 online resource (XII, 408 pages).
Edition:
First edition 1999.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1999.
System Details:
text file PDF
Summary:
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.
Contents:
Data Warehouse Design
Dynamic Data Warehouse Design
Star/Snow-Flake Schema Driven Object-Relational Data Warehouse Design and Query Processing Strategies
The Design and Implementation of Modularized Wrappers/Monitors in a Data Warehouse
Managing Meta Objects for Design of Warehouse Data
On-Line Analytical Processing
Dealing with Complex Reports in OLAP Applications
OLAP-based Scalable Profiling of Customer Behavior
Compressed Datacubes for Fast OLAP Applications
Compact Representation: An Approach to Efficient Implementation for the Data Warehouse Architecture
View Maintenance, Selection and Optimisation
On the Independence of Data Warehouse from Databases in Maintaining Join Views
Heuristic Algorithms for Designing a Data Warehouse with SPJ Views
POSSE: A Framework for Optimizing Incremental View Maintenance at Data Warehouses
Genetic Algorithm for Materialized View Selection in Data Warehouse Environments
Optimization of Sequences of Relational Queries in Decision-Support Environments
Invited Talk
Dynamic Data Warehousing
Multidimensional Databases
Set-Derivability of Multidimensional Aggregates
Using the Real Dimension of the Data
On Schema Evolution in Multidimensional Databases
Lazy Aggregates for Real-Time OLAP
Knowledge Discovery
Incremental Refinement of Mining Queries
The Item-Set Tree: A Data Structure for Data Mining
A New Approach for the Discovery of Frequent Itemsets
K-means Clustering Algorithm for Categorical Attributes
Association Rules
Considering Main Memory in Mining Association Rules
Discovery of Association Rule Meta-Patterns
Fuzzy Functional Dependencies and Fuzzy Association Rules
Performance Evaluation and Optimization of Join Queries for Association Rule Mining
Indexing and Object Similarities
Efficient Bulk Loading of Large High-Dimensional Indexes
Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases
Similarity between Event Types in Sequences
Generalised Association Rules and Data and Web Mining
Mining Generalized Association Rule Using Parallel RDB Engine on PC Cluster
Modeling KDD Processes within the Inductive Database Framework
Research Issues in Web Data Mining
DAMISYS: An Overview
Time Series Databases
Mining Interval Time Series
A New Modeling Technique Based on Markov Chains to Mine Behavioral Patterns in Event Based Time Series
SQL/LPP+: A Cascading Query Language for Temporal Correlation Verification
Temporal Structures in Data Warehousing
Data Mining Applications and Data Analysis
Target Group Selection in Retail Banking through Neuro-Fuzzy Data Mining and Extensive Pre- and Postprocessing
Using Data Mining Techniques in Fiscal Fraud Detection
Analysis of Accuracy of Data Reduction Techniques
Data Swapping: Balancing Privacy against Precision in Mining for Logic Rules.
Other Format:
Printed edition:
ISBN:
978-3-540-48298-7
9783540482987
Access Restriction:
Restricted for use by site license.

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