Titlebook: Advanced Information Systems Engineering; 22nd International C Barbara Pernici Conference proceedings 2010 Springer-Verlag Berlin Heidelber

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978-3-642-13093-9Springer-Verlag Berlin Heidelberg 2010

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The Arab Folklorist in a Postcolonial Periodon the Web. These applications exploit suitable software frameworks and models that make it possible for . to configure the data sources to be searched and the interfaces for query submission and result visualization. We describe some usage scenarios and the reference architecture for Search Computi

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https://doi.org/10.1007/978-1-349-25207-7consume some 2% of available power in mature economies. Other estimates show that an additional 8% or so of power is consumed by IT systems which reside in offices and homes, while assessments of power used consumer devices such as mobile phones and PDA’s combined with other household appliances whi

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https://doi.org/10.1007/978-1-349-25207-7ations. When automating compliance checks on process models, existing approaches have mainly addressed . compliance rules so far, i.e., rules that correspond to a particular process model. However, in practice, we will rather find . compliance rules that are nevertheless to be checked over process m

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Public Participation in Decision-makingimproving processes and their IT support. Process mining techniques analyze historic information hidden in event logs to provide surprising insights for managers, system developers, auditors, and end users. However, thus far, .. While existing process mining techniques focus on the process as a whol

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Principles and Conceptual Knowledgevering the dependency structure for a set of data quality dimensions measured on attributes of a database. This task is accomplished through the data mining methodology, by learning a Bayesian Network from a database. The Bayesian Network is used to analyze dependency between data quality dimensions

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Principles and Conceptual Knowledgeveral technical solutions but duplication still occurs in practice. In this paper we report on a case study of how and why duplication occurs in a large organization, and discuss generalizable lessons learned from this. Our case study research questions are why data gets duplicated, what the size of

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