The Resource Data and Information Quality : Dimensions, Principles and Techniques, by Carlo Batini, Monica Scannapieco, (electronic resource)

Data and Information Quality : Dimensions, Principles and Techniques, by Carlo Batini, Monica Scannapieco, (electronic resource)

Label
Data and Information Quality : Dimensions, Principles and Techniques
Title
Data and Information Quality
Title remainder
Dimensions, Principles and Techniques
Statement of responsibility
by Carlo Batini, Monica Scannapieco
Creator
Contributor
Author
Provider
Subject
Language
eng
Summary
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 practical approaches with sound theoretical formalisms
Member of
http://library.link/vocab/creatorName
Batini, Carlo
Image bit depth
0
LC call number
QA76.9.D3
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Scannapieco, Monica.
  • SpringerLink
Series statement
Data-Centric Systems and Applications,
http://library.link/vocab/subjectName
  • Computer science
  • Knowledge management
  • Medical informatics
  • Data structures (Computer science)
  • Database management
  • Computer Science
  • Database Management
  • Data Structures, Cryptology and Information Theory
  • Information Systems Applications (incl. Internet)
  • Health Informatics
  • Knowledge Management
Label
Data and Information Quality : Dimensions, Principles and Techniques, by Carlo Batini, Monica Scannapieco, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Dimensions
unknown
Edition
1st ed. 2016.
Extent
XXVIII, 500 p. 260 illus., 53 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783319241067
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-24106-7
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-24106-7
Label
Data and Information Quality : Dimensions, Principles and Techniques, by Carlo Batini, Monica Scannapieco, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
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
Dimensions
unknown
Edition
1st ed. 2016.
Extent
XXVIII, 500 p. 260 illus., 53 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783319241067
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-24106-7
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-319-24106-7

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