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… (More)
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Topic mentions per year

Topic mentions per year

2000-2018
0204020002018

Papers overview

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Review
2013
Review
2013
This paper presents a review of three papers based on Domain Driven Data Mining. In the first paper [1], Domain Driven Data… (More)
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2012
2012
In the preceding decade data mining has came into sight as one of the largely energetic areas in information technology… (More)
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Review
2010
Review
2010
Conventional data mining applications face serious difficulties in solving complex real-life business decision making problems… (More)
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2009
2009
In deploying data mining into the real-world business, we have to cater for business scenarios, organizational factors, user… (More)
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2009
2009
The mainstream data mining faces critical challenges and lacks of soft power in solving real-world complex problems when deployed… (More)
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2008
2008
  • Longbing Cao
  • 2008 IEEE International Conference on Data Mining…
  • 2008
In deploying data mining into the real-world business, we have to cater for business scenarios, organizational factors, user… (More)
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2008
2008
Traditional data mining is a data-driven trial-an-error process. It stops at discovered pattern/rule, either views data mining as… (More)
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2007
2007
Traditionally, data mining is an autonomous data-driven trial-and-error process. Its typical task is to let data tell a story… (More)
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Review
2007
Review
2007
Real-world data mining generally must consider and involve domain and business oriented factors such as human knowledge… (More)
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2006
2006
Extant data mining is based on data-driven methodologies. It either views data mining as an autonomous data-driven, trial-and… (More)
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