说明：  本书作者从实践出发，结合大量数据挖掘工程案例及教学经验，以真实案例为主线，深入浅出地介绍数据挖掘建模中的有关任务：数据挖掘、数据预处理、分类与预测、聚类分析、时序预测、关联规则挖掘、智能推荐、偏差预测等。
(The author of this book starts from practice, combines a large number of data mining engineering cases and teaching experience, and uses real cases as the main line to explain the relevant tasks in data mining modeling in simple terms: data mining, data preprocessing, classification and prediction, cluster analysis, Preliminary prediction, association rule mining, intelligent recommendation, bias prediction, etc.)