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By Barbara Catania, Giovanna Guerrini, Jaroslav Pokorny

ISBN-10: 3642406823

ISBN-13: 9783642406829

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This booklet constitutes the completely refereed lawsuits of the seventeenth East-European convention on Advances in Databases and data platforms, ADBIS 2013, held in Genoa, Italy, in September 2013. The 26 revised complete papers offered including 3 invited papers have been conscientiously chosen and reviewed from ninety two submissions. The papers are equipped in topical sections on ontologies; indexing; information mining; OLAP; XML information processing; querying; similarity seek; GPU; querying in parallel architectures; functionality review; allotted architectures.

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The total set of different types of participants in the whole system is given with P = Pi , where Pi is the set of different types of participants in business process represented by DADi . Total set E P of classes generated for all p ∈ P (for all participants in the source business model) is as follows: E P = eP ∈ E eP = TP (p), p ∈ P , where the TP rule, that maps participant p ∈ P into class eP ∈ E P , is: TP p de f = eP For the sample business model, name(eP) = name(p) . E P = {MEMBER, LIBRARIAN}.

Finally Section 6 concludes and describes future research. 2 State of the Art A Business Process (BP) is a set of related activities that transform an input to create an output with added values [10]. Experts in information systems Aligning Business Process Models and Domain Knowledge 47 and professionals agree that the success of a company depends particularly of a good understanding of business processes [4]. To make a business process model understandable, reliable, and reusable it is important to ensure its quality.

The participation ratio Pr (C, fi ) of a feature fi in the collocation C = { f1 , f2 , . . , fk } is a fraction of objects representing the feature fi in the neighborhood of instances of collocation C − { fi }. 22 P. Boinski and M. Zakrzewicz S contains information about its feature type, instance id and location; (b) a neighbor relationship R over locations; (c) a minimum prevalence threshold (min prev) and minimum conditional probability threshold (min cond prob); (d) a size of the available memory, find efficiently (with respect to the memory constraint) a correct and complete set of collocation rules with participation index ≥ min prev and conditional probability ≥ min cond prob.

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Advances in Databases and Information Systems by Barbara Catania, Giovanna Guerrini, Jaroslav Pokorny

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