Reactive business intelligence (RBI) advocates an holistic approach that integrates data mining, modeling and interactive visualization, into an end-to-end discovery and continuous innovation process powered by human and automated learning.[1]
In the area of decision-making this approach has been used to adapt the decision method to the knowledge which is progressively acquired from the decision maker.[2]
Relationships with reactive search optimization (RSO)
RSO is multi-disciplinary
RSO is a multi-disciplinary research area between operations research (optimization), computer science, machine learning and neural networks that studies online learning schemes applied to problem-solving and optimization, according to a learning while optimizing principle .[3] The word reactive hints at a ready response to events during the search through an internal feedback loop for online self-tuning and dynamic adaptation. Online adaptation and model revision is used in reactive business intelligence to adapt the data mining and interactive visualization techniques to the knowledge derived from a user in real time.
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See also
