Data and Information Quality Dimensions, Principles and Techniques /

This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and comprehensive overview of the state of the art and future development of data and information quality in...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Batini, Carlo (Autor), Scannapieco, Monica (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Data-Centric Systems and Applications,
Temas:
Database management.
Data structures (Computer science).
Information theory.
Application software.
Medical informatics.
Knowledge management.
Database Management.
Data Structures and Information Theory.
Computer and Information Systems Applications.
Health Informatics.
Knowledge Management.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction to Information Quality
  • Data Quality Dimensions
  • Information Quality Dimensions for Maps and Texts
  • Data Quality Issues in Linked open data
  • Quality Of Images
  • Models for Information Quality
  • Activities for Information Quality
  • Object Identification
  • Recent Advances in Object Identification
  • Data Quality Issues in Data Integration Systems
  • Information Quality in Use
  • Methodologies for Information Quality Assessment and Improvement
  • Information Quality in Healthcare
  • Quality of Web Data and Quality of Big Data: Open Problems
  • References
  • Index.

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