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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.
2018
2018
Transducer integration into different accessories such as eyeglasses, wristbands, vest, wristwatches, among others, has brought… 
Review
2017
Review
2017
Traditional data mining tools, developed to extract actionable knowledge from data, demonstrated to be inadequate to process the… 
Review
2014
Review
2014
- Knowledge Discovery and Data Mining (KDD) refer to the overall process of discovering useful knowledge from data. It involves… 
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… 
2009
2009
Abstract : A sensor provides capabilities to extract unique spatial and temporal instances of a measurement specific to a system… 
2008
2008
  • Yi Wang
  • 2008
  • Corpus ID: 12548427
This article describes an application that illustrates the role of data mining technology in identifying hidden causal knoledge… 
2008
2008
The mainstream data mining faces critical challenges and lacks of soft power in solving real-world complex problems when deployed… 
2003
2003
Based on the gas geology information of combined mining faces of Chenjiashan Coal Mine that contains coal and oil gas,it is…