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Information Fuzzy Networks : ウィキペディア英語版 | Information Fuzzy Networks
Info Fuzzy Networks(IFN) is a greedy machine learning algorithm for supervised learning. The data structure produced by the learning algorithm is also called Info Fuzzy Network. IFN construction is quite similar to decision trees' construction. However, IFN constructs a directed graph and not a tree. IFN also uses the conditional mutual information metric in order to choose features during the construction stage while decision trees usually use other metrics like entropy or gini. == IFN and the knowledge discovery process's stages ==
* Discretization of continuous features * Feature selection * Creates a model for classification * Evaluation of extracted association rules and prioritizing them * Anomaly detection
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Information Fuzzy Networks」の詳細全文を読む
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