Data Warehousing and Knowledge Discovery 12th International Conference, DaWaK 2010, Bilbao, Spain, August 30 - September 2, 2010, Proceedings /

Data warehousing and knowledge discovery has been widely accepted as a key te- nology for enterprises and organizations to improve their abilities in data analysis, decision support, and the automatic extraction of knowledge from data. With the exponentially growing amount of information to be inclu...

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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, 2010.
Edición:1st ed. 2010.
Colección:Information Systems and Applications, incl. Internet/Web, and HCI ; 6263
Temas:
Database management.
Computer networks .
Computer programming.
Data mining.
Application software.
Artificial intelligence-Data processing.
Database Management.
Computer Communication Networks.
Programming Techniques.
Data Mining and Knowledge Discovery.
Computer and Information Systems Applications.
Data Science.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Data Warehouse Modeling and Spatial Data Warehouses
  • Logic Programming for Data Warehouse Conceptual Schema Validation
  • A Model-Driven Heuristic Approach for Detecting Multidimensional Facts in Relational Data Sources
  • Physical Design and Implementation of Spatial Data Warehouses Supporting Continuous Fields
  • Benchmarking Spatial Data Warehouses
  • Mining Social Networks and Graphs
  • Discovering Community-Oriented Roles of Nodes in a Social Network
  • A Graph-Based Clustering Scheme for Identifying Related Tags in Folksonomies
  • Frequent Sub-graph Mining on Edge Weighted Graphs
  • Physical Data Warehouse Design
  • & : A Methodology for Effectively and Efficiently Designing Parallel Relational Data Warehouses on Heterogenous Database Clusters
  • Yet Another Algorithms for Selecting Bitmap Join Indexes
  • Speeding Up Queries in Column Stores
  • Dependency Mining
  • Mining Non-redundant Information-Theoretic Dependencies between Itemsets
  • Discovery and Application of Functional Dependencies in Conjunctive Query Mining
  • Using Transitivity to Increase the Accuracy of Sample-Based Pearson Correlation Coefficients
  • Business Intelligence and Analytics
  • The NOX Framework: Native Language Queries for Business Intelligence Applications
  • Experience in Extending Query Engine for Continuous Analytics
  • Development of a Business Intelligence Environment for e-Gov Using Open Source Technologies
  • Outlier and Image Mining
  • A Fast Randomized Method for Local Density-Based Outlier Detection in High Dimensional Data
  • Specialty Mining
  • Region of Interest Based Image Categorization
  • Pattern Mining
  • Meta-learning for Post-processing of Association Rules
  • A Relational Approach for Discovering Frequent Patterns with Disjunctions
  • An Occurrence Based Approach to Mine Emerging Sequences
  • Mining Closed Itemsets in Data Stream Using Formal Concept Analysis
  • Data Cleaning and Variable Selection
  • XML Data Fusion
  • An Efficient Duplicate Record Detection Using q-Grams Array Inverted Index
  • Modelling Complex Data by Learning Which Variable to Construct.

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