COMPSAC 81
Author | : |
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Total Pages | : 476 |
Release | : 1981 |
Genre | : Computer programs |
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Author | : |
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Total Pages | : 476 |
Release | : 1981 |
Genre | : Computer programs |
ISBN | : |
Author | : |
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Total Pages | : 198 |
Release | : 1981 |
Genre | : Computers |
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Total Pages | : 446 |
Release | : 1981 |
Genre | : Computer software |
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Author | : IEEE computer society |
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Total Pages | : 446 |
Release | : 1981 |
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Author | : Pranas Zunde |
Publisher | : Springer Science & Business Media |
Total Pages | : 455 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 1468458620 |
This is the proceedings of the Sixth Symposium on Empirical Foundations of Information and Software Sciences (EFISS), which was held in Atlanta, Georgia, on October 19-21, 1988. The purpose of the symposia is to explore subjects and methods of scientific inquiry which are of common interest to information and software sciences, and to identify directions of research that would benefit from the mutual interaction of these two disciplines. The main theme of the sixth symposium was modeling in information and software engineering, with emphasis on methods and tools of modeling. The symposium covered topics such as models of individual and organizational users of information systems, methods of selecting appropriate types of models for a given type of users and a given type of tasks, deriving models from records of system usage, modeling system evolution, constructing user and task models for adaptive systems, and models of system architectures. This symposium was sponsored by the School of Information and Computer Science of the Georgia Institute of Technology and by the U.S. Army Institute for Research in Management Information, Communications, and Computer Sciences (AIRMICS). 17le Editors vii CONTENTS 1 I. KEYNOTE ADDRESS ............................................. .
Author | : Trevor Bench-Capon |
Publisher | : Springer Science & Business Media |
Total Pages | : 1123 |
Release | : 1999-08-20 |
Genre | : Computers |
ISBN | : 3540664483 |
The Database and Expert Systems Applications (DEXA) conferences bring together researchers and practitioners from all over the world to exchange ideas, experiences and opinions in a friendly and stimulating environment. The papers are at once a record of what has been achieved and the first steps towards shaping the future of information systems. DEXA covers a broad field, and all aspects of database, knowledge base and related technologies and their applications are represented. Once again there were a good number of submissions: 241 papers were submitted and of these the programme committee selected 103 to be presented. DEXA’99 took place in Florence and was the tenth conference in the series, following events in Vienna, Berlin, Valencia, Prague, Athens, London, Zurich, Toulouse and Vienna. The decade has seen many developments in the areas covered by DEXA, developments in which DEXA has played its part. I would like to express thanks to all the institutions which have actively supported and made possible this conference, namely: • University of Florence, Italy • IDG CNR, Italy • FAW – University of Linz, Austria • Austrian Computer Society • DEXA Association In addition, we must thank all the people who have contributed their time and effort to make the conference possible. Special thanks go to Maria Schweikert (Technical University of Vienna), M. Neubauer and G. Wagner (FAW, University of Linz). We must also thank all the members of the programme committee, whose careful reviews are important to the quality of the conference.
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Total Pages | : 688 |
Release | : 1984 |
Genre | : Research |
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Author | : IEEE Computer Society |
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Total Pages | : |
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Total Pages | : 382 |
Release | : 1984 |
Genre | : Engineering |
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Author | : Amihai Motro |
Publisher | : Springer Science & Business Media |
Total Pages | : 473 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 1461562457 |
As its title suggests, "Uncertainty Management in Information Systems" is a book about how information systems can be made to manage information permeated with uncertainty. This subject is at the intersection of two areas of knowledge: information systems is an area that concentrates on the design of practical systems that can store and retrieve information; uncertainty modeling is an area in artificial intelligence concerned with accurate representation of uncertain information and with inference and decision-making under conditions infused with uncertainty. New applications of information systems require stronger capabilities in the area of uncertainty management. Our hope is that lasting interaction between these two areas would facilitate a new generation of information systems that will be capable of servicing these applications. Although there are researchers in information systems who have addressed themselves to issues of uncertainty, as well as researchers in uncertainty modeling who have considered the pragmatic demands and constraints of information systems, to a large extent there has been only limited interaction between these two areas. As the subtitle, "From Needs to Solutions," indicates, this book presents view points of information systems experts on the needs that challenge the uncer tainty capabilities of present information systems, and it provides a forum to researchers in uncertainty modeling to describe models and systems that can address these needs.