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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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Related topics

Related topics

3 relations
Big dataData miningMachine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2012
Review
2012
Perceived Knowledge Quality: A Sensemaking Perspective
Due to ever-increasing uncertainty in the business environment, perceived knowledge quality has become an imperative, not an… 
2012
2012
A Knowledge-Driven Educational Decision Support System
Education always plays an important role in building up every country around the world. Hence, educational decision making… 
Review
2011
Review
2011
Domain Driven Data Mining (D 3 M)
The current data mining algorithms and tools faces critical challenges in solving real-world complex problems as they do not… 
Review
2010
Review
2010
Book Review: Domain Driven Data Mining
The current vast development in ubiquitous computing, cloud computing and networking across every sector and business has made… 
2010
2010
Strategic supplier selection: A domain driven data mining methodology
The fierce competitions in supply chain are changing the conventional buyer-seller relationship, which leads to undermine… 
2009
2009
Introduction to Domain Driven Data Mining
The mainstream data mining faces critical challenges and lacks of soft power in solving real-world complex problems when deployed… 
2009
2009
Role of Human Intelligence in Domain Driven Data Mining
Data Mining is an iterative, multi-step process consisting of different phases such as domain (or business) understanding, data… 
2009
2009
Data mining with Rattle
Data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives an… 
2008
2008
Toward Domain-Driven Data Mining
Traditional data mining is a data-driven trial-an-error process. It stops at discovered pattern/rule, either views data mining as… 
2007
2007
2007 International Workshop on Domain Driven Data Mining
In the last decade, data mining has emerged as one of the most vivacious areas in information technology. Classic data mining is… 
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