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- W2372443884 abstract "After making a deep study of the problems of the existing inductive learning algorithms based on discernibility matrix and traditional decision matrix,a new decision matrix and an algorithm based on this matrix for inductive learning and incremental learning in the environment of incremental data set were proposed.The main ideal is to divide the decision system into several subsystems based on the decision classes and construct the new decision matrix,and then to transform the inductive learning for the decision system into the incremental learning based on the new decision matrix.It not only could solve the problem of learning on the incremental data sets,but also could considerably reduce the size of traditional decision matrix and avoid the repeated computation in traditional decision matrix algorithm.The example analysis and experimental results illustrate the rationality and validity of the new algorithm based on the strategy of dividing and conquering." @default.
- W2372443884 created "2016-06-24" @default.
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- W2372443884 date "2007-01-01" @default.
- W2372443884 modified "2023-09-26" @default.
- W2372443884 title "Inductive Learning in Environment of Incremental Data Set Based on Division of Decision Classes" @default.
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- W2372443884 hasPublicationYear "2007" @default.
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