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Titlebook: On the Move to Meaningful Internet Systems 2004: CoopIS, DOA, and ODBASE; OTM Confederated Int Robert Meersman,Zahir Tari Conference procee

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Disjoint and Overlapping Process Changes: Challenges, Solutions, Applicationsork for dealing with overlapping and disjoint process changes and presents adequate migration strategies depending on the particular degree of overlap. In order to obtain a canonical representation of changes an algorithm is introduced which purges change logs from noisy information. Finally, a powe
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Automated Supervision of Data Production – Managing the Creation of Statistical Reports on Periodic rmation is made available to management, production operators and administrators to support a timely and smooth production of periodic data. Both approaches are theoretically described and compared. The main finding is that both are useful, but in different cases. The main advantages of the ‘closely
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Managing Semantic Compensation in a Multi-agent Systemnd handling failure-related interactions between agents– without requiring the agent application designer to implement the details of the failure-handling model. In particular, in a multi-agent system, robust handling of compensations for delegated tasks requires flexible protocols to support manage
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A Meta-service for Event Notificationification of filter languages for event notification, which serves as basis for the transformation rules. The proposed rules are implemented in a prototype transformation module for a Meta Service for Event Notification.
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Wil van der Aalst,Christoph Bussler,Avigdor Gal category transition preference to further improve the accuracy of recommendation. The experiment results on two real-world Foursquare datasets demonstrate that CPAM has better performance than the state-of-the art methods in terms of two commonly used metrics.
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Umeshwar Dayal non-stationary dueling bandits with strong theoretical guarantees. The main idea of our method is to run multiple dueling bandits gradient descent (DBGD) algorithms with different step sizes in parallel and employ a meta algorithm to dynamically combine these DBGD algorithms according to their real
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