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Published by Springer-Verlag GmbH, 1993
ISBN 10: 3540567364 ISBN 13: 9783540567363
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Condition: Gut. Zustand: Gut | Seiten: 532 | Sprache: Englisch | Produktart: Bücher | In many fields of science and practice large amounts of dataand informationare collected for analyzing and visualizinglatent structures as orderings or classifications forexample. This volume presents refereed and revised versionsof 52 papers selected from the contributions of the 16thAnnualConference of the "German Classification Society".The papers are organized in three major sections on DataAnalysis and Classification (1), InformationRetrieval,Knowledge Processing and Software (2), Applications andSpecial Topics (3). Moreover, the papers were grouped andordered within the major sections. So, in the first sectionwe find papers on Classification Methods, FuzzyClassification, Multidimensional Scaling, DiscriminantAnalysis and Conceptual Analysis. The second sectioncontains papers on Neural Networks and ComputationalLinguisticsin addition to the mentioned fields. Anessential part of the third section attends to Sequence Dataand Tree Reconstruction as well as Data Analysis andInformatics in Medicine. As special topics the volumepresents applications in Thesauri, Archaeology, MusicalScience and Psychometrics.
Language: English
Published by Springer Berlin Heidelberg, 1993
ISBN 10: 3540567364 ISBN 13: 9783540567363
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - In many fields of science and practice large amounts of dataand informationare collected for analyzing and visualizinglatent structures as orderings or classifications forexample. This volume presents refereed and revised versionsof 52 papers selected from the contributions of the 16thAnnualConference of the 'German Classification Society'.The papers are organized in three major sections on DataAnalysis and Classification (1), InformationRetrieval,Knowledge Processing and Software (2), Applications andSpecial Topics (3). Moreover, the papers were grouped andordered within the major sections. So, in the first sectionwe find papers on Classification Methods, FuzzyClassification, Multidimensional Scaling, DiscriminantAnalysis and Conceptual Analysis. The second sectioncontains papers on Neural Networks and ComputationalLinguisticsin addition to the mentioned fields. Anessential part of the third section attends to Sequence Dataand Tree Reconstruction as well as Data Analysis andInformatics in Medicine. As special topics the volumepresents applications in Thesauri, Archaeology, MusicalScience and Psychometrics.
Taschenbuch. Condition: Neu. Records Classification: Concepts, Principles and Methods | Information, Systems, Context | Umi Asma' Mokhtar (u. a.) | Taschenbuch | Englisch | 2017 | Elsevier Science | EAN 9780081022382 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Language: English
Published by Elsevier Science & Technology|Chandos Publishing, 2017
ISBN 10: 0081022387 ISBN 13: 9780081022382
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Records Classification: Concepts, Principles and Methods: Information, Systems, Context introduces classification, an early part of the research lifecycle. Classification ensures systematic organization of documents and facilitates information ret.
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Records Classification: Concepts, Principles and Methods: Information, Systems, Context introduces classification, an early part of the research lifecycle. Classification ensures systematic organization of documents and facilitates information retrieval. However, classification systems are not prevalent in records management when compared to their use in other information fields. This book views classification from the records management (RM) perspective by adopting a qualitative approach, with case studies, to gather data by means of interview and document content analysis. Current development of information systems do not take into account the concept of classification from a RM perspective. Such a model is required because the incorporation of information and communication technology (ICT) in managing records is inevitable. The concept of classification from an RM perspective ought to be extended to the ICT team to enable the development of a RM system not limited to storage and retrieval functions, but also with relation to disposal and preservation processes. This proposed model introduces function-based classification to ensure records are classified in context.