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Domain driven data mining

Known as: Combined mining, Knowledge actionability, Actionable knowledge discovery 
Domain driven data mining is a data mining methodology for discovering actionable knowledge and deliver actionable insights from complex data and… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
Traditional data mining tools, developed to extract actionable knowledge from data, demonstrated to be inadequate to process the… 
2016
2016
In this paper we present a novel software analytics infrastructure supporting for a combination of three requirements to serve… 
2016
2016
Information management in healthcare is nowadays experiencing a great revolution. After the impressive progress in digitizing… 
Review
2016
Review
2016
The importance of customer management as an area for research inspired the formation of the Henley Centre for Customer Management… 
Review
2012
Review
2012
Due to ever-increasing uncertainty in the business environment, perceived knowledge quality has become an imperative, not an… 
Review
2011
Review
2011
The current data mining algorithms and tools faces critical challenges in solving real-world complex problems as they do not… 
2010
2010
The fierce competitions in supply chain are changing the conventional buyer-seller relationship, which leads to undermine… 
2010
2010
This chapter discusses a new technique – agent-driven data mining for domain driven data mining (D 3 M). We focus on introduce… 
2009
2009
The mainstream data mining faces critical challenges and lacks of soft power in solving real-world complex problems when deployed… 
2004
2004
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