Role of Human Intelligence in Domain Driven Data Mining

  • Sumana Sharma
  • Kweku-Muata Osei-Bryson

Data Mining is an iterative, multi-step process consisting of different phases such as domain (or business) understanding, data understanding, data preparation, modeling, evaluation and deployment. Various data mining tasks are dependent on the human user for their execution. These tasks and activities that require human intelligence are not amenable to automation like tasks in other phases such as data preparation or modeling are. Nearly all Data Mining methodologies acknowledge the importance of the human user but do not clearly delineate and explain the tasks where human intelligence should be leveraged or in what manner. In this chapter we propose to describe various tasks of the domain understanding phase which require human intelligence for their appropriate execution.


Data Mining Success Criterion Human User Business Objective Business User 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Virginia Commonwealth UniversityVirginiaUSA

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