Abstract
In a knowledge society, transforming data into information and knowledge to support the decision-making process is a crucial success factor for all organizations. In this sense, the mission of Software Engineering is to build systems able to process large volumes of data, transform them into relevant knowledge and deliver them to customers, so they can make the right decisions at the right time. However, companies still fail in determining the process model used in their Knowledge Discovery in Databases projects. This article introduces the AgileKDD, an agile and disciplined software process for developing systems capable of discovering the knowledge hidden in databases, which was built on top of the Open Unified Process. A case study shows that AgileKDD can increase the success factor of projects whose goal is to develop Knowledge Discovery in Databases applications.
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do Nascimento, G.S., de Oliveira, A.A. (2012). An Agile Knowledge Discovery in Databases Software Process. In: Xiang, Y., Pathan, M., Tao, X., Wang, H. (eds) Data and Knowledge Engineering. ICDKE 2012. Lecture Notes in Computer Science, vol 7696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34679-8_6
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DOI: https://doi.org/10.1007/978-3-642-34679-8_6
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