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can be estimated on the basis of data from previously completed projects. This paper investigates using an ERP database to … knowledge discovery from an ERP database is proposed. The presented method contains four stages of the knowledge discovery …
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More and more application domains, from financial market analysis to weatherprediction, from monitoring supermarket purchases to monitoring satellite images, arebecomingly increasingly data-intensive. The result is massive databases that are growingat a rapid rate - it has been estimated that...
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Literature on association mining, the data mining methodology that investigates associations between items, has primarily focused on efficiently mining larger databases. The motivation for association mining is to use the rules obtained from historical data to influence future transactions....
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In its Communication "Building a European data economy" the EU Commission discusses the introduction of a new exclusive property right on data ("data producer right") for non-personal (or anonymised) machine-generated data, and mandatory access rights to privately held data for achieving more...
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It is almost a truism to argue that data holds a great promise of transformative resources for social good, by helping to address a complex range of societal issues, ranging from saving lives in the aftermath of a natural disaster to predicting teen suicides. Yet it is not public authorities who...
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In today’s increasingly competitive business world, organizations are using ICT to advance their business strategies and increase their competitive advantage. One technological element that is growing in popularity is knowledge discovery in databases (KDD). In this paper, we propose an...
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