机译:使用搜索引擎数据预测中国游客量
Management School, University of Chinese Academy of Sciences, NO.80 Zhongguancun East Road Haidian District, Beijing 100190, China,Department of Sociology, University of Chicago, 1126 East 59th Street, Chicago, IL 60637, USA;
Department of Hospitality and Tourism Management, School of Business, College of Charleston, 66 George Street, Charleston, SC 29424, USA;
Department of Sociology, University of Chicago, 1126 East 59th Street, Chicago, IL 60637, USA;
Management School, University of Chinese Academy of Sciences, NO.80 Zhongguancun East Road Haidian District, Beijing 100190, China;
Search engine data; Google Trends; Baidu Index; Chinese tourism market; Visitor prediction; Tourist volume forecast;
机译:基于搜索引擎注意评估中国游客对泰国的预测模型 - 以百度为例
机译:使用Google搜索引擎数据预测智能销售量预测
机译:使用通过Cuckoo搜索算法优化的Grey-Markov模型预测每年来中国的外国游客人数
机译:日常消费者搜索数据在预测月度旅游流量中的作用分析:混合数据采样方法
机译:基于历史项目执行数据的挖掘和模式分析的数据挖掘工程工作量预测的工业应用。
机译:Internet搜索查询数据改善日常急诊部门的预测
机译:结合搜索引擎数据的游客量预测的新型混合模型