2010, ISBN: 3642069703

[EAN: 9783642069703], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], DATAACCURACY; DATAAVAILABILITY; DATACOMPLETENESS; DATACONSISTENCY; DATAINTEGRATION; DATAQUALITY; DISTRIBUTEDDAT… Altro …

[EAN: 9783642069703], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], DATAACCURACY; DATAAVAILABILITY; DATACOMPLETENESS; DATACONSISTENCY; DATAINTEGRATION; DATAQUALITY; DISTRIBUTEDDATAMANAGEMENT; DATAMINING; LEARNING; ORGANIZATION, Druck auf Anfrage Neuware - Printed after ordering - Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public initiatives like the 'Data Quality Act' in the USA and the 'European 2003/98' directive of the European Parliament.Batini and Scannapieco present a comprehensive and systematic introduction to the wide set of issues related to data quality. They start with a detailed description of different data quality dimensions, like accuracy, completeness, and consistency, and their importance in different types of data, like federated data, web data, or time-dependent data, and in different data categories classified according to frequency of change, like stable, long-term, and frequently changing data. The book's extensive description of techniques and methodologies from core data quality research as well as from related fields like data mining, probability theory, statistical data analysis, and machine learning gives an excellent overview of the current state of the art. The presentation is completed by a short description and critical comparison of tools and practical methodologies, which will help readers to resolve their own quality problems.This book is an ideal combination of the soundness of theoretical foundations and the applicability of practical approaches. It is ideally suited for everyone - researchers, students, or professionals - interested in a comprehensive overview of data quality issues. In addition, it will serve as the basis for an introductory course or for self-study on this topic., Books<

2010, ISBN: 3642069703

[EAN: 9783642069703], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], DATAACCURACY; DATAAVAILABILITY; DATACOMPLETENESS; DATACONSISTENCY; DATAINTEGRATION; DATAQUALITY; DISTRIBUTEDDAT… Altro …

[EAN: 9783642069703], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], DATAACCURACY; DATAAVAILABILITY; DATACOMPLETENESS; DATACONSISTENCY; DATAINTEGRATION; DATAQUALITY; DISTRIBUTEDDATAMANAGEMENT; DATAMINING; LEARNING; ORGANIZATION, Druck auf Anfrage Neuware -Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public initiatives like the 'Data Quality Act' in the USA and the 'European 2003/98' directive of the European Parliament.Batini and Scannapieco present a comprehensive and systematic introduction to the wide set of issues related to data quality. They start with a detailed description of different data quality dimensions, like accuracy, completeness, and consistency, and their importance in different types of data, like federated data, web data, or time-dependent data, and in different data categories classified according to frequency of change, like stable, long-term, and frequently changing data. The book's extensive description of techniques and methodologies from core data quality research as well as from related fields like data mining, probability theory, statistical data analysis, and machine learning gives an excellent overview of the current state of the art. The presentation is completed by a short description and critical comparison of tools and practical methodologies, which will help readers to resolve their own quality problems.This book is an ideal combination of the soundness of theoretical foundations and the applicability of practical approaches. It is ideally suited for everyone - researchers, students, or professionals - interested in a comprehensive overview of data quality issues. In addition, it will serve as the basis for an introductory course or for self-study on this topic. 284 pp. Englisch, Books<

2003, ISBN: 9783642069703

Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public init… Altro …

Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public initiatives like the ""Data Quality Act"" in the USA and the ""European 2003/98"" directive of the European Parliament. Batini and Scannapieco present a comprehensive and systematic introduction to the wide set of issues related to data quality. They start with a detailed description of different data quality dimensions, like accuracy, completeness, and consistency, and their importance in different types of data, like federated data, web data, or time-dependent data, and in different data categories classified according to frequency of change, like stable, long-term, and frequently changing data. The book''s extensive description of techniques and methodologies from core data quality research as well as from related fields like data mining, probability theory, statistical data analysis, and machine learning gives an excellent overview of the current state of the art. The presentation is completed by a short description and critical comparison of tools and practical methodologies, which will help readers to resolve their own quality problems. This book is an ideal combination of the soundness of theoretical foundations and the applicability of practical approaches. It is ideally suited for everyone - researchers, students, or professionals - interested in a comprehensive overview of data quality issues. In addition, it will serve as the basis for an introductory course or for self-study on this topic. | Data Quality by Carlo Batini Paperback | Indigo Chapters Books > Computers > Databases P10116, Carlo Batini<

2010, ISBN: 9783642069703

Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public init… Altro …

Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public initiatives like the 'Data Quality Act' in the USA and the 'European 2003/98' directive of the European Parliament. Batini and Scannapieco present a comprehensive and systematic introduction to the wide set of issues related to data quality. They start with a detailed description of different data quality dimensions, like accuracy, completeness, and consistency, and their importance in different types of data, like federated data, web data, or time-dependent data, and in different data categories classified according to frequency of change, like stable, long-term, and frequently changing data. The book's extensive description of techniques and methodologies from core data quality research as well as from related fields like data mining, probability theory, statistical data analysis, and machine learning gives an excellent overview of the current state of the art. The presentation is completed by a short description and critical comparison of tools and practical methodologies, which will help readers to resolve their own quality problems. This book is an ideal combination of the soundness of theoretical foundations and the applicability of practical approaches. It is ideally suited for everyone &#8211; researchers, students, or professionals &#8211; interested in a comprehensive overview of data quality issues. In addition, it will serve as the basis for an introductory course or for self-study on this topic. Buch (fremdspr.) Carlo Batini#Monica Scannapieco Taschenbuch, Springer, 13.11.2010, Springer, 2010<

2010, ISBN: 3642069703

edizione con copertina rigida

Softcover reprint of hardcover 1st ed. 2006 Kartoniert / Broschiert Wirtschaftsmathematik und -informatik, IT-Management, Unternehmensanwendungen, Algorithmen und Datenstrukturen, Daten… Altro …

Softcover reprint of hardcover 1st ed. 2006 Kartoniert / Broschiert Wirtschaftsmathematik und -informatik, IT-Management, Unternehmensanwendungen, Algorithmen und Datenstrukturen, Datenbanken, Data Warehousing, Informationsrückgewinnung, Information Retrieval, Angewandte Informatik, DataAccuracy; DataAvailability; DataCompleteness; DataConsistency; dataintegration; dataquality; Distributeddatamanagement; datamining; Learning; organization, mit Schutzumschlag 11, [PU:Springer Berlin Heidelberg; Springer-Verlag GmbH]<