Download Business Intelligence for the Real-Time Enterprise: Second by Malu Castellanos, Umeshwar Dayal, Timos Sellis PDF

By Malu Castellanos, Umeshwar Dayal, Timos Sellis

This booklet constitutes the completely refereed post-conference lawsuits of the second one foreign Workshop on enterprise Intelligence for the Real-Time company, BIRTE 2008, held in Auckland, New Zealand, in August 2008, at the side of VLDB 2008, the overseas convention on Very huge facts Bases.

The keynote speak and the ten revised complete papers awarded have been rigorously reviewed and chosen for inclusion within the booklet. The papers speak about the main features of commercial intelligence for the real-time firm, concentrating on types and ideas, architectures, case-studies, and purposes of and applied sciences for real-time company company intelligence.

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Read or Download Business Intelligence for the Real-Time Enterprise: Second International Workshop, BIRTE 2008, Auckland, New Zealand, August 24, 2008, Revised ... Notes in Business Information Processing) PDF

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Additional info for Business Intelligence for the Real-Time Enterprise: Second International Workshop, BIRTE 2008, Auckland, New Zealand, August 24, 2008, Revised ... Notes in Business Information Processing)

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Proposition 5. There exists at least one bag-oriented view selection problem input P = (S, Q, D, L) such that: – Q is a set of chain queries, and – P has optimal solutions but there is no optimal solution Λ = (V, R) such that V contains only chain queries. Proof. The following example proves this proposition. Example 6. Consider a query workload Q = {Q} on a database schema S that contains the binary relations r1 , r2 and r3 , where Q is the following chain query: Q : q(X, Y ) :- r1 (X, Z), r2 (Z, W ), r3 (W, Y ).

To illustrate the benefits of QRTPS for real-time data acquisition, an example application is presented. Keywords: QoS, Real-Time Publish-Subscribe, ECA Rule, Active RealTime Database. 1 Introduction Many complex distributed real-time applications require complicated processing and sharing of an extensive amount of data under critical timing constraints. These applications include collecting data from the environment, processing acquired data in the context of historical data and providing timely response.

Concerning the experimental evaluation of our approach, we have contacted preliminary experiments that gave promising results. There is a lot to be done for future work including the following: (a) studying further the potential features of lgviews, (b) studying more special cases of the view selection problem, (c) studying the view selection problem for parameterized queries, and (d) studying the exact complexity of the problem. Acknowledgements. We would like to thank Timos Sellis and the anonymous reviewers for their valuable comments.

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