000 04591nam a22005535i 4500
001 978-3-319-24106-7
003 DE-He213
005 20200421112230.0
007 cr nn 008mamaa
008 160323s2016 gw | s |||| 0|eng d
020 _a9783319241067
_9978-3-319-24106-7
024 7 _a10.1007/978-3-319-24106-7
_2doi
050 4 _aQA76.9.D3
072 7 _aUN
_2bicssc
072 7 _aUMT
_2bicssc
072 7 _aCOM021000
_2bisacsh
082 0 4 _a005.74
_223
100 1 _aBatini, Carlo.
_eauthor.
245 1 0 _aData and Information Quality
_h[electronic resource] :
_bDimensions, Principles and Techniques /
_cby Carlo Batini, Monica Scannapieco.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXXVIII, 500 p. 260 illus., 53 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aData-Centric Systems and Applications,
_x2197-9723
505 0 _aIntroduction 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.
520 _aThis 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.
650 0 _aComputer science.
650 0 _aKnowledge management.
650 0 _aHealth informatics.
650 0 _aData structures (Computer science).
650 0 _aDatabase management.
650 1 4 _aComputer Science.
650 2 4 _aDatabase Management.
650 2 4 _aData Structures, Cryptology and Information Theory.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aHealth Informatics.
650 2 4 _aKnowledge Management.
700 1 _aScannapieco, Monica.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319241043
830 0 _aData-Centric Systems and Applications,
_x2197-9723
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-24106-7
912 _aZDB-2-SCS
942 _cEBK
999 _c57913
_d57913