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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… Expand
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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.
Highly Cited
2014
Highly Cited
2014
Mining of Massive Datasets
Big data is a relative term describing a situation where the volume, velocity and variety of data exceed an organizations storage… Expand
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Highly Cited
2010
Highly Cited
2010
Domain Driven Data Mining
In the present thriving global economy a need has evolved for complex data analysis to enhance an organizations production… Expand
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Review
2010
Review
2010
Domain-Driven Data Mining: Challenges and Prospects
  • Longbing Cao
  • IEEE Transactions on Knowledge and Data…
  • 2010
    • Corpus ID: 17904603
Traditional data mining research mainly focus]es on developing, demonstrating, and pushing the use of specific algorithms and… Expand
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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… Expand
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Highly Cited
2009
Highly Cited
2009
SemSOS: Semantic sensor Observation Service
Sensor Observation Service (SOS) is a Web service specification defined by the Open Geospatial Consortium (OGC) Sensor Web… Expand
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2008
2008
Domain Driven Data Mining (D3M)
  • Longbing Cao
  • IEEE International Conference on Data Mining…
  • 2008
    • Corpus ID: 8692864
In deploying data mining into the real-world business, we have to cater for business scenarios, organizational factors, user… Expand
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Highly Cited
2007
Highly Cited
2007
The Evolution of KDD: towards Domain-Driven Data Mining
Traditionally, data mining is an autonomous data-driven trial-and-error process. Its typical task is to let data tell a story… Expand
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2006
2006
Domain-Driven Data Mining: A Practical Methodology
Extant data mining is based on data-driven methodologies. It either views data mining as an autonomous data-driven, trial-and… Expand
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Highly Cited
2004
Highly Cited
2004
More Than an Answer: Information Relationships for Actionable Knowledge
Research on information processing, managerial cognition, and social networks demonstrates that people rely on other people for… Expand
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Highly Cited
2002
Highly Cited
2002
Mining intrusion detection alarms for actionable knowledge
In response to attacks against enterprise networks, administrators increasingly deploy intrusion detection systems. These systems… Expand
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