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This book constitutes the refereed proceedings of the 6th International Conference on Database Theory, ICDT '97, held in Delphi, Greece, in January 1997. The 29 revised full papers presented in the volume were carefully selected from a total of 118 submissions. Also included are invited papers by Serge Abiteboul and Jeff Ullman as well as a tutorial on data mining by Heikki Mannila. The papers are organized in sections on conjunctive queries in heterogeneous databases, logic and databases, active databases, new applications, concurrency control, unstructured data, object-oriented databases, access methods, and spatial and bulk data.
This volume aims to present recent advances in database technology from the viewpoint of the novel database paradigms proposed in the last decade. It focuses on the theory of the extended relational model and an example of an extended relational database programming language, Algres, is described. A free copy of Algres complements this work, and is available on the Internet. Audience: This work will be of interest to graduate students following advanced database courses, advanced data-oriented applications developers, and researchers in the field of database programming languages and software engineering who need a flexible prototyping platform for the development of software tools.

IJCAI-97

International Joint Conferences on Artificial Intelligence

Published: 1997

Total Pages: 1720


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An authoritative source about methods, languages, methodologies and supporting tools for constructing information systems that also provides examples for references models. Its strength is the careful selection of each of the above mentioned components, based on technical merit. The second edition completely revises all articles and features new material on the latest developments in XML & UML. The structure follows the definition of the major components of Enterprise Integration as defined by GERAM (Generalised Enterprise Reference Architecture and Methodology). 1st edition sold about 600 copies since January 2003.
The Handbook of Computational Statistics: Concepts and Methodology is divided into four parts. It begins with an overview over the field of Computational Statistics. The second part presents several topics in the supporting field of statistical computing. Emphasis is placed on the need of fast and accurate numerical algorithms and it discusses some of the basic methodologies for transformation, data base handling and graphics treatment. The third part focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Finally a set of selected applications like Bioinformatics, Medical Imaging, Finance and Network Intrusion Detection highlight the usefulness of computational statistics.
This book is based on a PhD dissertation which was accepted by the faculty of Law and Economics at the University of Bern, Switzerland. The ideas presented were partially developed in a research project founded by the Swiss National Sci ence Foundation in 1993 and 1994. This research project was concerned with evaluating the application of database triggers and active databases for the im plementation of business rules. We recognized among other things the lack of a methodology for modeling such business rules on the conceptual level. Therefore, this became the focus of the follow-up research which resulted in this book. All this work would not have been possible without the help of several people. First of all, I would like to give special thanks to my thesis supervisor Prof. Dr. Gerhard Knolmayer. He not only initiated the research project and found an in dustry partner, but also provided very valuable ideas, and critically reviewed and discussed the resulting publications. Furthermore, I would like to express my thanks to the second thesis supervisor Prof. Dr. Sham Navathe from Georgia In stitute of Technology who influenced my work with results from a former re search project and who agreed to evaluate the resulting PhD Dissertation.
Interoperability is a topic of considerable interest for business entities, as the exchange and use of data is important to their success and sustainability. Electronic Business Interoperability: Concepts, Opportunities and Challenges analyzes obstacles, provides critical assessment of existing approaches, and reviews recent research efforts to overcome interoperability problems in electronic business. It serves as a source of knowledge for researchers, educators, students, and industry practitioners to share and exchange their most current research findings, ideas, practices, challenges, and opportunities concerning electronic business interoperability.
Systems for Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) are currently separate. The potential of the latest technologies and changes in operational and analytical applications over the last decade have given rise to the unification of these systems, which can be of benefit for both workloads. Research and industry have reacted and prototypes of hybrid database systems are now appearing. Benchmarks are the standard method for evaluating, comparing and supporting the development of new database systems. Because of the separation of OLTP and OLAP systems, existing benchmarks are only focused on one or the other. With the rise of hybrid database systems, benchmarks to assess these systems will be needed as well. Based on the examination of existing benchmarks, a new benchmark for hybrid database systems is introduced in this book. It is furthermore used to determine the effect of adding OLAP to an OLTP workload and is applied to analyze the impact of typically used optimizations in the historically separate OLTP and OLAP domains in mixed-workload scenarios.