Case-based Reasoning
Case-Based Reasoning (CBR) uses past experiences (cases) to solve current problems and can be applied in:
Learning and Generalization in iPrevent's CBR
The inductive indexing capabilities in iPrevent's CBR provide major advantages over
Neural Networks, Business Rules, and Data Mining by learning from a wider range of past
experiences. iPrevent's CBR technology translates a database to cases without user intervention.
The cases created are then used to classify the normal/abnormal behavior in Real Time.
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