경영과학 (Korean Management Science Review)
- 제15권2호
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- Pages.177-200
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- 1998
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- 1225-1100(pISSN)
A Framework for Intelligent Data Interpretation System in Organizational Computing
초록
One of organization's generic functions is the interpretation of events to carry out decision-making activities. In intelligent Data Interpretation System(IDIS), Interpreting is computationally modeled as classification of new data into categories having similar features. We define the Extensional Object Model(ExOM) as a formalism for IDIS. In ExOM, objects and categories are loosely coupled to provide flexibility for both object description and category definition in data gathering and interpretation process. Objects are classified inductively based on exemplars of categories as well as deductively based on category structures.
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