Advances in Databases and Information Systems: Second East by Daniela Florescu, Alon Levy (auth.), Witold Litwin, Tadeusz PDF

By Daniela Florescu, Alon Levy (auth.), Witold Litwin, Tadeusz Morzy, Gottfried Vossen (eds.)

ISBN-10: 3540649247

ISBN-13: 9783540649243

This ebook constitutes the refereed complaints of the second one East ecu Symposium on Advances in Databases and data platforms, ADBIS '98, held in Poznan, Poland in September 1998.
The 25 revised complete papers provided have been chosen from a complete of ninety submissions and 6 prolonged abstracts inside a unique part. "East meets West". The papers are geared up in topical sections on question languges, optimization, collaborative platforms, schema integration, garage and model administration, item structures, wisdom discovery and the net, and platforms design.

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Extra resources for Advances in Databases and Information Systems: Second East European Symposium, ADBIS’98 Poznań, Poland, September 7–10, 1998 Proceedings

Example text

The following query, in this case, Project Body, Consequent, Confidence(NJ_Emp), Support(NJ_Emp), Confidence (NY_Emp), Support (NY_Emp), SelectRules (R) where Body has { (Age=*), (Sex=*) } and Consequent is { (Car=*) } will select the Bodies and Consequents of rules from R, and evaluate them over the two views. SelectRules, by definition, does not generate new rule patterns. The above example brings up an interesting issue: What ifR is not a rulebase generated by the E m p table, but rather, by some other table?

This scenario becomes especially difficult to handle where the activity program is a legacy application which was written without its usage in a workfiow context in mind. Application Development. A number of vendors have added support for Microsoft's Object Linking and Embedding (OLE) technology. This allows OLEenabled applications to be very easily invoked by a WFMS as a consequence of starting executions of activities. Activity implementations become much easier to code since passing of data from the workflow engine to the invoked applications is automated.

The typicality application deals with taking a given predicate, and selecting the best few "representative data items" satisfying that given predicate. ". For a given predicate X, the algorithm finds rules of the form "X ~ Y" and then looks at data items which satisfy X. It then ranks these data items based on how many of the above rules they satisfy. Using the previous example, a BMW buyer satisfying most of the properties of (rules about) BMW buyers is a typical BMW buyer. Conversely, a person who buys a BMW, but has none of the properties of usual BMW buyers is an "atypical" person.

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Advances in Databases and Information Systems: Second East European Symposium, ADBIS’98 Poznań, Poland, September 7–10, 1998 Proceedings by Daniela Florescu, Alon Levy (auth.), Witold Litwin, Tadeusz Morzy, Gottfried Vossen (eds.)


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