Data Mining and Reverse Engineering

. Ed(s): Spaccapietra, Stefano; Maryanski, Fred

ISBN 10: 0412822504 / ISBN 13: 9780412822506

Edité par Chapman and Hall, 1998

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. N° de réf. du vendeur V9780412822506

Synopsis :

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.

Détails bibliographiques

Titre : Data Mining and Reverse Engineering
Éditeur : Chapman and Hall
Date d'édition : 1998
Reliure : Couverture rigide
Etat : New