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Advances in Data Management

Data Management is the process of planning, coordinating and controlling data resources. More often, applications need to store and search a large amount of data. Managing Data has been continuously challenged by demands from various areas and applications and has evolved in parallel with advances i...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Ras, Zbigniew W. (Editor ), Dardzinska, Agnieszka (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Studies in Computational Intelligence, 223
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Information Retrieval and Web Intelligence
  • Automatic Index Selection in RDBMS by Exploring Query Execution Plan Space
  • Integrated Retrieval from Web of Documents and Data
  • Bipolar Queries: A Way to Enhance the Flexibility of Database Queries
  • On Deriving Data Summarization through Ontologies to Meet User Preferences
  • Granular Computing for Web Intelligence
  • Knowledge Discovery
  • Visualizing High Dimensional Classifier Performance Data
  • Extending Rule-Based Classifiers to Improve Recognition of Imbalanced Classes
  • Converting between Various Sequence Representations
  • Considerations on Logical Calculi for Dealing with Knowledge in Data Mining
  • Information Integration and Data Security
  • A Study on Recent Trends on Integration of Security Mechanisms
  • Monitoring-Based Approach for Privacy Data Management
  • Achieving Scalability with Schema-Less Databases
  • Intelligent Agents
  • Managing Pervasive Environments through Database Principles: A Survey
  • Toward a Novel Design of Swarm Robots Based on the Dynamic Bayesian Network
  • Current Research Trends in Possibilistic Logic: Multiple Agent Reasoning, Preference Representation, and Uncertain Databases
  • Data Management in Medical Domain
  • Atherosclerosis Risk Assessment Using Rule-Based Approach
  • Interpretation of Imprecision in Medical Data
  • Promoting Diversity in Top Hits for Biomedical Passage Retrieval.