rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Data and Information Quality
    sub title: Dimensions, Principles and Techniques
  name:
    name part: Batini, Carlo.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Scannapieco, Monica.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXVIII, 500 p. 260 illus., 53 illus. in color. online resource.
  abstract: 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 databases and information systems. To this end, it presents an extensive description of the techniques that constitute the core of data and information quality research, including record linkage (also called object identification), data integration, error localization and correction, and examines the related techniques in a comprehensive and original methodological framework. Quality dimension definitions and adopted models are also analyzed in detail, and differences between the proposed solutions are highlighted and discussed. Furthermore, while systematically describing data and information quality as an autonomous research area, paradigms and influences deriving from other areas, such as probability theory, statistical data analysis, data mining, knowledge representation, and machine learning are also included. Last not least, the book also highlights very practical solutions, such as methodologies, benchmarks for the most effective techniques, case studies, and examples. The book has been written primarily for researchers in the fields of databases and information management or in natural sciences who are inte rested in investigating properties ofdata and information that have an impact on the quality of experiments, processes and on real life. The material presented is also sufficiently self-contained for masters or PhD-level courses, and it covers all the fundamentals and topics without the need for other textbooks. Data and information system administrators and practitioners, who deal with systems exposed to data-quality issues and as a result need a systematization of the field and practical methods in the area, will also benefit from the combination of concrete …
  table of contents: 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.
  note: by Carlo Batini, Monica Scannapieco.
  subject:
    topic: Computer science
  subject:
    topic: Knowledge management
  subject:
    topic: Health informatics
  subject:
    topic: Data structures (Computer science)
  subject:
    topic: Database management
  subject:
    topic: Computer Science
  subject:
    topic: Database Management
  subject:
    topic: Data Structures, Cryptology and Information Theory
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Health Informatics
  subject:
    topic: Knowledge Management
  classification: QA76.9.D3
  classification: 005.74
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Data-Centric Systems and Applications
  identifier: 9783319241067
  identifier: http://dx.doi.org/10.1007/978-3-319-24106-7
  record info:
    record creation date: 160323
    record change date: 20160528064435.0
    record identifier: 978-3-319-24106-7