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Prediction with likelihood set from emerging patterns

机译:根据新兴模式设定的可能性进行预测

摘要

A system, method and computer program product for determining whether a test sample is in a first or a second class of data (for example: cancerous or normal), comprising: extracting a plurality of emerging patterns from a training data set, creating a first and second list containing respectively, a frequency of occurrence of each emerging pattern that has a non-zero occurrence in the first and in the second class of data; using a fixed number of emerging patterns, calculating a first and second score derived respectively from the frequencies of emerging patterns in the first list that also occur in the test data, and from the frequencies of emerging patterns in the second list that also occur in the test data; and deducing whether the test sample is categorized in the first or the second class of data by selecting the higher of the first and the second score.
机译:一种用于确定测试样品是处于第一类还是第二类数据中的系统,方法和计算机程序产品(例如:癌性或正常),包括:从训练数据集中提取多个新兴模式,创建第一个第二列表分别包含在第一类和第二类数据中具有非零出现的每个新兴模式的出现频率;使用固定数量的新兴模式,分别从测试数据中也出现在第一列表中的新兴模式频率和第二名单中出现的频率中计算出第一和第二得分。测试数据;通过选择第一分数和第二分数中较高的一个来推断测试样本是分类在第一类数据还是第二类数据中。

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