机译:基于聚类和序列挖掘的客户行为过程动态理解
Department of Decision Sciences and Information Management, KU Leuven, Naamsestraat 69, B-3000 Leuven, Belgium;
Department of Decision Sciences and Information Management, KU Leuven, Naamsestraat 69, B-3000 Leuven, Belgium;
Department of Decision Sciences and Information Management, KU Leuven, Naamsestraat 69, B-3000 Leuven, Belgium ,School of Management, University of Southampton, Highfield, Southampton SO17 1BJ, United Kingdom ,Vlerick, Leuven-Gent Management School, Reep 1, B-9000 Gent, Belgium;
Department of Decision Sciences and Information Management, KU Leuven, Naamsestraat 69, B-3000 Leuven, Belgium;
Clustering; Sequence mining; Business knowledge; Behavior process; Trajectories; Direct marketing;
机译:基于聚类,规则挖掘和客户分割问题的混合软计算方法问题:客户以客户为中心的实际情况
机译:基于事件日志的动态行为关联,预测和聚类的通用流程挖掘框架
机译:基于客户购买序列数据的客户聚类
机译:基于聚类和序列挖掘的客户行为过程理解的探索方法
机译:基于团队的知识工作的动态:了解流程和媒体使用。
机译:基于关联规则挖掘的框架,用于了解生活方式风险行为
机译:了解不满意和遗憾客户的行为后果