By Paolo Atzeni (auth.), Yannis Manolopoulos, Pavol Návrat (eds.)
This e-book constitutes the refereed court cases of the sixth East ecu convention on Advances in Databases and knowledge platforms ADBIS 2002, held in Bratislava, Slovakia in September 2002.
The 25 revised complete papers and four brief papers offered including three invited papers have been rigorously reviewed and chosen from a hundred and fifteen submissions. The papers are geared up in topical sections on facts mining and information discovery, cellular databases, spatiotemporal and spatial databases, multidimensional databases and data platforms, object-oriented and deductive databases, info modeling and workfows, net databases and semistructured facts, and complicated structures and applications.
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Additional info for Advances in Databases and Information Systems: 6th East European Conference, ADBIS 2002 Bratislava, Slovakia, September 8–11, 2002 Proceedings
Conceptually, each HDB layer generates (publishes) an event after the termination of a service si . , has made a subscription of the appropriate event indicating that sk has to be executed. But instead of matching publication and subscriptions by a centralized publish/subscribe broker, this is done locally by the HDB layer. To this end, the replicated metadata allows for a distributed and decentralized implementation of publish/subscribe functionality. Each local HDB layer is equipped with a publish/subscribe broker such that events can be handled locally, based on the replicas of PR and SL.
C Springer-Verlag Berlin Heidelberg 2002 38 Chris Giannella dependencies also represent interesting patterns contained in r. The discovery of AFDs can be valuable to domain experts. For example, paraphrasing from  page 100: an AFD in a table of chemical compounds relating various structural attributes to carcinogenicity could provide valuable hints to biochemists for potential causes of cancer (but cannot be taken as a fact without further analysis by domain specialists). Before algorithms for discovering AFDs can be developed, an approximation measure must be deﬁned.
There is no single privacy homomorphism that securely copes with all arithmetic operations at a time. The service needs to be split into various steps in order to combine the capabilities of the existing encryption schemes. There are two possibilities: First, the service provider sends the partial results back to the customer who either finishes the operation herself or reencrypts it using the appropriate encryption scheme and sends it back for further processing. This obviously translates into additional communication and handling charges.