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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.
2017
2017
Action Rules for Sentiment Analysis on Twitter Data Using Spark
Action Rules are vital data mining method for gaining actionable knowledge from the datasets. Meta actions are the sub-actions to… 
2014
2014
Domain driven data mining for customer demand discovery
Understanding customer demands is the foundation of businesses to make strategies for product development, product promotion and… 
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… 
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… 
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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