Data warehousing and knowledge discovery : First International Conference, DaWaK'99, Florence, Italy, August 30-September 1, 1999 : 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 s...

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Bibliografische gegevens
Coauteur: International Conference on Data warehousing and knowledge discovery :Florence, Italie
Andere auteurs: Mohania, Mukesh (Publishing director), Tjoa, A. Min, 1952- (Publishing director)
Formaat: Livre numérique
Taal:Anglais
Gepubliceerd in: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Reeks:Lecture notes in computer science 1676
Onderwerpen:
Online toegang:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Opmerking: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Data warehousing and knowledge discovery, First International Conference, DaWaK'99, Florence, Italy, August 30-September 1, 1999, proceedings, Mukesh Mohania, A Min Tjoa (eds.), 1999, Berlin, Springer, 1 vol. (XII-398 p.), Lecture notes in computer science, 3-540-66458-0
• Data Warehousing and Knowledge Discovery, Texte imprimé, 9783662164716
Inhoudsopgave:
  • 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 & 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.