Data Warehousing and Knowledge Discovery 11th International Conference, DaWaK 2009 Linz, Austria, August 31-September 2, 2009 Proceedings /

This book constitutes the refereed proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2009 held in Linz, Austria in August/September 2009. The 36 revised full papers presented were carefully reviewed and selected from 124 submissions. The papers are o...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Mohania, Mukesh K. (Editor ), Tjoa, A Min (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Information Systems and Applications, incl. Internet/Web, and HCI ; 5691
Temas:
Database management.
Data mining.
Information storage and retrieval systems.
Application software.
Computer networks .
Pattern recognition systems.
Database Management.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Computer and Information Systems Applications.
Computer Communication Networks.
Automated Pattern Recognition.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Invited Talk
  • New Challenges in Information Integration
  • Data Warehouse Modeling
  • What Is Spatio-Temporal Data Warehousing?
  • Towards a Modernization Process for Secure Data Warehouses
  • Visual Modelling of Data Warehousing Flows with UML Profiles
  • Data Streams
  • CAMS: OLAPing Multidimensional Data Streams Efficiently
  • Data Stream Prediction Using Incremental Hidden Markov Models
  • History Guided Low-Cost Change Detection in Streams
  • Physical Design
  • HOBI: Hierarchically Organized Bitmap Index for Indexing Dimensional Data
  • A Joint Design Approach of Partitioning and Allocation in Parallel Data Warehouses
  • Fast Loads and Fast Queries
  • Pattern Mining
  • TidFP: Mining Frequent Patterns in Different Databases with Transaction ID
  • Non-Derivable Item Set and Non-Derivable Literal Set Representations of Patterns Admitting Negation
  • Which Is Better for Frequent Pattern Mining: Approximate Counting or Sampling?
  • A Fast Feature-Based Method to Detect Unusual Patterns in Multidimensional Datasets
  • Data Cubes
  • Efficient Online Aggregates in Dense-Region-Based Data Cube Representations
  • BitCube: A Bottom-Up Cubing Engineering
  • Exact and Approximate Sizes of Convex Datacubes
  • Data Mining Applications
  • Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures
  • Customer Churn Prediction for Broadband Internet Services
  • Mining High-Correlation Association Rules for Inferring Gene Regulation Networks
  • Analytics
  • Extend UDF Technology for Integrated Analytics
  • High Performance Analytics with the R3-Cache
  • Open Source BI Platforms: A Functional and Architectural Comparison
  • Ontology-Based Exchange and Immediate Application of Business Calculation Definitions for Online Analytical Processing
  • Data Mining
  • Skyline View: Efficient Distributed Subspace Skyline Computation
  • HDB-Subdue: A Scalable Approach to Graph Mining
  • Mining Violations to Relax Relational Database Constraints
  • Arguing from Experience to Classifying Noisy Data
  • Clustering
  • Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data
  • The PDG-Mixture Model for Clustering
  • Clustering for Video Retrieval
  • Spatio-Temporal Mining
  • Trends Analysis of Topics Based on Temporal Segmentation
  • Finding N-Most Prevalent Colocated Event Sets
  • Rule Mining
  • Rule Learning with Probabilistic Smoothing
  • Missing Values: Proposition of a Typology and Characterization with an Association Rule-Based Model
  • Olap Recommendation
  • Recommending Multidimensional Queries
  • Preference-Based Recommendations for OLAP Analysis.

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