Data Warehousing and Knowledge Discovery 7th International Conference, DaWak 2005, Copenhagen, Denmark, August 22-26, 2005, Proceedings /

For more than a decade, data warehousing and knowledge discovery technologies have been developing into key technologies for decision-making processes in com- nies. Since 1999, due to the relevant role of these technologies in academia and ind- try, the Data Warehousing and Knowledge Discovery (DaWa...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Tjoa, A Min (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Information Systems and Applications, incl. Internet/Web, and HCI ; 3589
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:
  • Data Warehouse I
  • A Tree Comparison Approach to Detect Changes in Data Warehouse Structures
  • Extending the UML for Designing Association Rule Mining Models for Data Warehouses
  • Event-Feeded Dimension Solution
  • XML-OLAP: A Multidimensional Analysis Framework for XML Warehouses
  • Data Warehouse II
  • Graph-Based Modeling of ETL Activities with Multi-level Transformations and Updates
  • Extending UML 2 Activity Diagrams with Business Intelligence Objects
  • Automatic Selection of Bitmap Join Indexes in Data Warehouses
  • Evaluating Data Warehouses and Tools
  • A Survey of Open Source Tools for Business Intelligence
  • DWEB: A Data Warehouse Engineering Benchmark
  • A Set of Quality Indicators and Their Corresponding Metrics for Conceptual Models of Data Warehouses
  • Design and Development of a Tool for Integrating Heterogeneous Data Warehouses
  • Schema Transformations
  • An Evolutionary Approach to Schema Partitioning Selection in a Data Warehouse
  • Using Schema Transformation Pathways for Incremental View Maintenance
  • Data Mapper: An Operator for Expressing One-to-Many Data Transformations
  • Materialized Views
  • Parallel Consistency Maintenance of Materialized Views Using Referential Integrity Constraints in Data Warehouses
  • Selective View Materialization in a Spatial Data Warehouse
  • PMC: Select Materialized Cells in Data Cubes
  • Aggregates
  • Progressive Ranking of Range Aggregates
  • On Efficient Storing and Processing of Long Aggregate Lists
  • Data Warehouse Queries and Database Processing Issues
  • Ad Hoc Star Join Query Processing in Cluster Architectures
  • A Precise Blocking Method for Record Linkage
  • Flexible Query Answering in Data Cubes
  • An Extendible Array Based Implementation of Relational Tables for Multi Dimensional Databases
  • Data Mining Algorithms and Techniques
  • Nearest Neighbor Search on Vertically Partitioned High-Dimensional Data
  • A Machine Learning Approach to Identifying Database Sessions Using Unlabeled Data
  • Hybrid System of Case-Based Reasoning and Neural Network for Symbolic Features
  • Data Mining
  • Spatio-temporal Rule Mining: Issues and Techniques
  • Hybrid Approach to Web Content Outlier Mining Without Query Vector
  • Incremental Data Mining Using Concurrent Online Refresh of Materialized Data Mining Views
  • A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases
  • Association Rules
  • Discovering Richer Temporal Association Rules from Interval-Based Data
  • Semantic Query Expansion Combining Association Rules with Ontologies and Information Retrieval Techniques
  • Maintenance of Generalized Association Rules Under Transaction Update and Taxonomy Evolution
  • Prince: An Algorithm for Generating Rule Bases Without Closure Computations
  • Text Processing and Classification
  • Efficient Compression of Text Attributes of Data Warehouse Dimensions
  • Effectiveness of Document Representation for Classification
  • 2-PS Based Associative Text Classification
  • Miscellaneous Applications
  • Intrusion Detection via Analysis and Modelling of User Commands
  • Dynamic Schema Navigation Using Formal Concept Analysis
  • Security and Privacy Issues
  • FMC: An Approach for Privacy Preserving OLAP
  • Information Driven Evaluation of Data Hiding Algorithms
  • Patterns
  • Essential Patterns: A Perfect Cover of Frequent Patterns
  • Processing Sequential Patterns in Relational Databases
  • Optimizing a Sequence of Frequent Pattern Queries
  • A General Effective Framework for Monotony and Tough Constraint Based Sequential Pattern Mining
  • Cluster and Classification I
  • Hiding Classification Rules for Data Sharing with Privacy Preservation
  • Clustering-Based Histograms for Multi-dimensional Data
  • Weighted K-Means for Density-Biased Clustering
  • Cluster and Classification II
  • A New Approach for Cluster Detection for Large Datasets with High Dimensionality
  • Gene Expression Biclustering Using Random Walk Strategies
  • Spectral Kernels for Classification
  • Data Warehousing and Knowledge Discovery: A Chronological View of Research Challenges.

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