Data Warehousing and Knowledge Discovery 8th International Conference, DaWaK 2006, Krakow, Poland, September 4-8, 2006, Proceedings /

For more than a decade, data warehousing together with knowledge discovery technology have made up the key technology for the decision-making process in companies. Since 1999, due to the relevant role of these technologies in academia and industry, the Data Warehousing and Knowledge Discovery (DaWaK...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Min Tjoa, A. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Information Systems and Applications, incl. Internet/Web, and HCI ; 4081
Temas:
Data structures (Computer science).
Information theory.
Database management.
Information storage and retrieval systems.
Application software.
Computer networks .
Artificial intelligence.
Data Structures and Information Theory.
Database Management.
Information Storage and Retrieval.
Computer and Information Systems Applications.
Computer Communication Networks.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • ETL Processing
  • ETLDiff: A Semi-automatic Framework for Regression Test of ETL Software
  • Applying Transformations to Model Driven Data Warehouses
  • Bulk Loading a Linear Hash File
  • Materialized View
  • Dynamic View Selection for OLAP
  • Preview: Optimizing View Materialization Cost in Spatial Data Warehouses
  • Preprocessing for Fast Refreshing Materialized Views in DB2
  • Multidimensional Design
  • A Multiversion-Based Multidimensional Model
  • Towards Multidimensional Requirement Design
  • Multidimensional Design by Examples
  • OLAP and Multidimensional Model
  • Extending Visual OLAP for Handling Irregular Dimensional Hierarchies
  • A Hierarchy-Driven Compression Technique for Advanced OLAP Visualization of Multidimensional Data Cubes
  • Analysing Multi-dimensional Data Across Autonomous Data Warehouses
  • What Time Is It in the Data Warehouse?
  • Cubes Processing
  • Computing Iceberg Quotient Cubes with Bounding
  • An Effective Algorithm to Extract Dense Sub-cubes from a Large Sparse Cube
  • On the Computation of Maximal-Correlated Cuboids Cells
  • Data Warehouse Applications
  • Warehousing Dynamic XML Documents
  • Integrating Different Grain Levels in a Medical Data Warehouse Federation
  • A Versioning Management Model for Ontology-Based Data Warehouses
  • Data Warehouses in Grids with High QoS
  • Mining Techniques (1)
  • Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods
  • Efficient Mining of Dissociation Rules
  • Optimized Rule Mining Through a Unified Framework for Interestingness Measures
  • An Information-Theoretic Framework for Process Structure and Data Mining
  • Mining Techniques (2)
  • Mixed Decision Trees: An Evolutionary Approach
  • ITER: An Algorithm for Predictive Regression Rule Extraction
  • COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach
  • Frequent Itemsets
  • A Greedy Approach to Concurrent Processing of Frequent Itemset Queries
  • Two New Techniques for Hiding Sensitive Itemsets and Their Empirical Evaluation
  • EStream: Online Mining of Frequent Sets with Precise Error Guarantee
  • Mining Data Streams
  • Granularity Adaptive Density Estimation and on Demand Clustering of Concept-Drifting Data Streams
  • Classification of Hidden Network Streams
  • Adaptive Load Shedding for Mining Frequent Patterns from Data Streams
  • An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams
  • Ontology-Based Mining
  • Learning Classifiers from Distributed, Ontology-Extended Data Sources
  • A Coherent Biomedical Literature Clustering and Summarization Approach Through Ontology-Enriched Graphical Representations
  • Automatic Extraction for Creating a Lexical Repository of Abbreviations in the Biomedical Literature
  • Clustering
  • Priority-Based k-Anonymity Accomplished by Weighted Generalisation Structures
  • Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures
  • Calculation of Density-Based Clustering Parameters Supported with Distributed Processing
  • Cluster-Based Sampling Approaches to Imbalanced Data Distributions
  • Advanced Mining Techniques
  • Efficient Mining of Large Maximal Bicliques
  • Automatic Image Annotation by Mining the Web
  • Privacy Preserving Spatio-Temporal Clustering on Horizontally Partitioned Data
  • Association Rules
  • Discovering Semantic Sibling Associations from Web Documents with XTREEM-SP
  • Difference Detection Between Two Contrast Sets
  • EGEA : A New Hybrid Approach Towards Extracting Reduced Generic Association Rule Set (Application to AML Blood Cancer Therapy)
  • Miscellaneous Applications
  • AISS: An Index for Non-timestamped Set Subsequence Queries
  • A Method for Feature Selection on Microarray Data Using Support Vector Machine
  • Providing Persistence for Sensor Data Streams by Remote WAL
  • Classification
  • Support Vector Machine Approach for Fast Classification
  • Document Representations for Classification of Short Web-Page Descriptions
  • GARC: A New Associative Classification Approach
  • Conceptual Modeling for Classification Mining in Data Warehouses.

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