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Editore: Springer-Verlag New York Inc., New York, NY, 2013
ISBN 10: 1475749104 ISBN 13: 9781475749106
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA REVIEW AND FUTURE DIRECTIONS In the last few years, database semantics research has turned sharply from a highly theoretical domain to one with more focus on practical aspects. The DS- 7 Working Conference held in October 1997 in Leysin, Switzerland, demon strated the more pragmatic orientation of the current generation of leading researchers. The papers presented at the meeting emphasized the two major areas: the discovery of semantics and semantic data modeling. The work in the latter category indicates that although object-oriented database management systems have emerged as commercially viable prod ucts, many fundamental modeling issues require further investigation. Today's object-oriented systems provide the capability to describe complex objects and include techniques for mapping from a relational database to objects. However, we must further explore the expression of information regarding the dimensions of time and space. Semantic models possess the richness to describe systems containing spatial and temporal data. The challenge of in corporating these features in a manner that promotes efficient manipulation by the subject specialist still requires extensive development. Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA REVIEW AND FUTURE DIRECTIONS In the last few years, database semantics research has turned sharply from a highly theoretical domain to one with more focus on practical aspects. The DS- 7 Working Conference held in October 1997 in Leysin, Switzerland, demonA strated the more pragmatic orientation of the current generation of leading researchers. The papers presented at the meeting emphasized the two major areas: the discovery of semantics and semantic data modeling. The work in the latter category indicates that although object-oriented database management systems have emerged as commercially viable prodA ucts, many fundamental modeling issues require further investigation. Today's object-oriented systems provide the capability to describe complex objects and include techniques for mapping from a relational database to objects. However, we must further explore the expression of information regarding the dimensions of time and space. Semantic models possess the richness to describe systems containing spatial and temporal data. The challenge of inA corporating these features in a manner that promotes efficient manipulation by the subject specialist still requires extensive developme Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Today's database engineers are committed to the reuse of existing data, for performance and economic reasons. Moreover, they often have to complement enterprise data with data from external sources, where the corresponding semantics are rarely fully available. Accessing data via the Web is just an example of input from external autonomous repositories. Unfortunately, some database design processes neglect to properly record the initial specifications - because most of the intended semantics are not available anymore. As a consequence, both database researchers and practitioners are facing the issues involved in the discovery and understanding of the semantics hidden in whatever is available: data sets, data stores formats, database schemes, application programs, documentation, metadaa, forms and interviews. This volume focuses on the above issues from the perspective of database semantics, discussing theories, principles, models, methods, formalisms experiences, tools and prototypes for recovering, representing and organizing semantic information on application data from any possible source.This includes in particular the processes known as: data mining and knowledge acquisition/discovery; data reverse engineering; extraction of semantic information from programs; semantic elicitation and visualization; cooperative elaboration of semantics; automatic indexing, classification and clustering; languages and interfaces for data mining or reverse engineering; advanced query models; visual mining; and correspondence investigation in schema integration. This work should be of interest to computer professionals; academic researchers in the area of database management, information retrieval and information systems; and R&D students in computer science. The database engineers are committed to the reuse of data, for performance and economic reasons. This book focuses on the issues in the discovery and understanding of the semantics hidden in various forms of external sources: data sets, data stores formats, database schemes, application programs, documentation, and more. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Aggiungi al carrelloCondizione: New. Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA REVIEW AND FUTURE DIRECTIONS In the last few years, database.
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Aggiungi al carrelloCondizione: New. The database engineers are committed to the reuse of data, for performance and economic reasons. This book focuses on the issues in the discovery and understanding of the semantics hidden in various forms of external sources: data sets, data stores formats, database schemes, application programs, documentation, and more. Editor(s): Spaccapietra, Stefano; Maryanski, Fred. Series: IFIP Advances in Information and Communication Technology. Num Pages: 518 pages, biography. BIC Classification: UN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 28. Weight in Grams: 1990. . 1998. Hardback. . . . .
Editore: Springer US, Springer New York, 2013
ISBN 10: 1475749104 ISBN 13: 9781475749106
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA REVIEW AND FUTURE DIRECTIONS In the last few years, database semantics research has turned sharply from a highly theoretical domain to one with more focus on practical aspects. The DS- 7 Working Conference held in October 1997 in Leysin, Switzerland, demon strated the more pragmatic orientation of the current generation of leading researchers. The papers presented at the meeting emphasized the two major areas: the discovery of semantics and semantic data modeling. The work in the latter category indicates that although object-oriented database management systems have emerged as commercially viable prod ucts, many fundamental modeling issues require further investigation. Today's object-oriented systems provide the capability to describe complex objects and include techniques for mapping from a relational database to objects. However, we must further explore the expression of information regarding the dimensions of time and space. Semantic models possess the richness to describe systems containing spatial and temporal data. The challenge of in corporating these features in a manner that promotes efficient manipulation by the subject specialist still requires extensive development.
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Aggiungi al carrelloCondizione: New. The database engineers are committed to the reuse of data, for performance and economic reasons. This book focuses on the issues in the discovery and understanding of the semantics hidden in various forms of external sources: data sets, data stores formats, database schemes, application programs, documentation, and more. Editor(s): Spaccapietra, Stefano; Maryanski, Fred. Series: IFIP Advances in Information and Communication Technology. Num Pages: 518 pages, biography. BIC Classification: UN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 28. Weight in Grams: 1990. . 1998. Hardback. . . . . Books ship from the US and Ireland.
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA REVIEW AND FUTURE DIRECTIONS In the last few years, database semantics research has turned sharply from a highly theoretical domain to one with more focus on practical aspects. The DS- 7 Working Conference held in October 1997 in Leysin, Switzerland, demon strated the more pragmatic orientation of the current generation of leading researchers. The papers presented at the meeting emphasized the two major areas: the discovery of semantics and semantic data modeling. The work in the latter category indicates that although object-oriented database management systems have emerged as commercially viable prod ucts, many fundamental modeling issues require further investigation. Today's object-oriented systems provide the capability to describe complex objects and include techniques for mapping from a relational database to objects. However, we must further explore the expression of information regarding the dimensions of time and space. Semantic models possess the richness to describe systems containing spatial and temporal data. The challenge of in corporating these features in a manner that promotes efficient manipulation by the subject specialist still requires extensive development.
Editore: Springer-Verlag New York Inc., New York, NY, 2013
ISBN 10: 1475749104 ISBN 13: 9781475749106
Lingua: Inglese
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA REVIEW AND FUTURE DIRECTIONS In the last few years, database semantics research has turned sharply from a highly theoretical domain to one with more focus on practical aspects. The DS- 7 Working Conference held in October 1997 in Leysin, Switzerland, demon strated the more pragmatic orientation of the current generation of leading researchers. The papers presented at the meeting emphasized the two major areas: the discovery of semantics and semantic data modeling. The work in the latter category indicates that although object-oriented database management systems have emerged as commercially viable prod ucts, many fundamental modeling issues require further investigation. Today's object-oriented systems provide the capability to describe complex objects and include techniques for mapping from a relational database to objects. However, we must further explore the expression of information regarding the dimensions of time and space. Semantic models possess the richness to describe systems containing spatial and temporal data. The challenge of in corporating these features in a manner that promotes efficient manipulation by the subject specialist still requires extensive development. Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA REVIEW AND FUTURE DIRECTIONS In the last few years, database semantics research has turned sharply from a highly theoretical domain to one with more focus on practical aspects. The DS- 7 Working Conference held in October 1997 in Leysin, Switzerland, demonA strated the more pragmatic orientation of the current generation of leading researchers. The papers presented at the meeting emphasized the two major areas: the discovery of semantics and semantic data modeling. The work in the latter category indicates that although object-oriented database management systems have emerged as commercially viable prodA ucts, many fundamental modeling issues require further investigation. Today's object-oriented systems provide the capability to describe complex objects and include techniques for mapping from a relational database to objects. However, we must further explore the expression of information regarding the dimensions of time and space. Semantic models possess the richness to describe systems containing spatial and temporal data. The challenge of inA corporating these features in a manner that promotes efficient manipulation by the subject specialist still requires extensive developme Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Today's database engineers are committed to the reuse of existing data, for performance and economic reasons. Moreover, they often have to complement enterprise data with data from external sources, where the corresponding semantics are rarely fully available. Accessing data via the Web is just an example of input from external autonomous repositories. Unfortunately, some database design processes neglect to properly record the initial specifications - because most of the intended semantics are not available anymore. As a consequence, both database researchers and practitioners are facing the issues involved in the discovery and understanding of the semantics hidden in whatever is available: data sets, data stores formats, database schemes, application programs, documentation, metadaa, forms and interviews. This volume focuses on the above issues from the perspective of database semantics, discussing theories, principles, models, methods, formalisms experiences, tools and prototypes for recovering, representing and organizing semantic information on application data from any possible source.This includes in particular the processes known as: data mining and knowledge acquisition/discovery; data reverse engineering; extraction of semantic information from programs; semantic elicitation and visualization; cooperative elaboration of semantics; automatic indexing, classification and clustering; languages and interfaces for data mining or reverse engineering; advanced query models; visual mining; and correspondence investigation in schema integration. This work should be of interest to computer professionals; academic researchers in the area of database management, information retrieval and information systems; and R&D students in computer science. The database engineers are committed to the reuse of data, for performance and economic reasons. This book focuses on the issues in the discovery and understanding of the semantics hidden in various forms of external sources: data sets, data stores formats, database schemes, application programs, documentation, and more. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA REVIEW AND FUTURE DIRECTIONS In the last few years, database semantics research has turned sharply from a highly theoretical domain to one with more focus on practical aspects. The DS- 7 Working Conference held in October 1997 in Leysin, Switzerland, demon strated the more pragmatic orientation of the current generation of leading researchers. The papers presented at the meeting emphasized the two major areas: the discovery of semantics and semantic data modeling. The work in the latter category indicates that although object-oriented database management systems have emerged as commercially viable prod ucts, many fundamental modeling issues require further investigation. Today's object-oriented systems provide the capability to describe complex objects and include techniques for mapping from a relational database to objects. However, we must further explore the expression of information regarding the dimensions of time and space. Semantic models possess the richness to describe systems containing spatial and temporal data. The challenge of in corporating these features in a manner that promotes efficient manipulation by the subject specialist still requires extensive development. 520 pp. Englisch.
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA REVIEW AND FUTURE DIRECTIONS In the last few years, database.
Editore: Springer US, Springer New York Jan 2013, 2013
ISBN 10: 1475749104 ISBN 13: 9781475749106
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA REVIEW AND FUTURE DIRECTIONS In the last few years, database semantics research has turned sharply from a highly theoretical domain to one with more focus on practical aspects. The DS- 7 Working Conference held in October 1997 in Leysin, Switzerland, demon strated the more pragmatic orientation of the current generation of leading researchers. The papers presented at the meeting emphasized the two major areas: the discovery of semantics and semantic data modeling. The work in the latter category indicates that although object-oriented database management systems have emerged as commercially viable prod ucts, many fundamental modeling issues require further investigation. Today's object-oriented systems provide the capability to describe complex objects and include techniques for mapping from a relational database to objects. However, we must further explore the expression of information regarding the dimensions of time and space. Semantic models possess the richness to describe systems containing spatial and temporal data. The challenge of in corporating these features in a manner that promotes efficient manipulation by the subject specialist still requires extensive development.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 520 pp. Englisch.