This article represents one of the contemporary trends in the application of the latest methods of classification in business, where intense competition and the desire to expand drive this science to far-reaching prospects using the discusses months and the most recent classification and forecasting algorithms such as SVM, FFM, C4.5, which are used to build better business decision support models, including basic steps in data pre-processing such as Attributes using Information Gain Ratio and filling missing values with several algorithms:K-Means,K-NearestNeighbor,Linear Regression,Neural Network(Back Propagation)
翻译：本文代表了在商业中应用最新分类方法的当代趋势之一,在这一趋势中,激烈的竞争和希望利用讨论月份和最近的分类和预测算法,如SVM、实况调查团、C4.5等最新分类和预测算法,将这一科学推广到影响深远的前景,这些算法用于建立更好的商业决策支持模型,包括数据预处理的基本步骤,如使用信息增益率的属性,用几种算法填充缺失值:K-Means、K-Nearest Neighbor、Linear Recresion、Neural Network(Back propagation)
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