[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fLFvA-8VHbWFrGLawHy5HhzBHn2GduSj2sW8RPtB0bEQ":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":18,"related":19,"source":29,"type":30},[],"2023-05-09 03:39:22",85613003,[8,9,10,11],"聚类","距离","统计","密度",{"courseId":13,"courseImg":14,"courseName":15,"workId":16,"workName":17},"1000064610","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ff91256753ddc4caa4da046bccdf4935b.jpg","大数据分析与应用","30757759","大数据分析与应用教程考试","在离群点检测中,对一维数据而言,使用基于什么的分析方法?( )",[20,31,41,50,59,62,71,79,88,93],{"answer":21,"createTime":5,"id":22,"options":23,"question":28,"source":29,"type":30},[],85612896,[24,25,26,27],"高级别数据处理","高级别数据计算","高级别数据分析","高级别数据优化","数据挖掘一般无需预先设定好的主题,主要是在现有数据上进行基于各种算法的计算,实现一些( )的需求","v2",0,{"answer":32,"createTime":5,"id":33,"options":34,"question":39,"source":29,"type":40},[],85612897,[35,36,37,38],"多样性","新颖性","用户满意度","惊喜度","推荐系统可以( )角度评估",1,{"answer":42,"createTime":5,"id":43,"options":44,"question":49,"source":29,"type":40},[],85612918,[45,46,47,48],"PageRank","TextRank","TF-IDF","LDA主题模型","常用于关键词提取的方法有( )",{"answer":51,"createTime":5,"id":52,"options":53,"question":58,"source":29,"type":30},[],85612932,[54,55,56,57],"分词能够通过某种方式将句子中的各个词语识别并分离","词频是指某一个给定的词语在文本中出现的次数","关键词提取算法主要有无监督关键词提取方法和有监督关键词提取算法","无监督关键词提取方法将关键词提取视为分类过程","下列关于文本分析的说法错误的是( )",{"answer":60,"createTime":5,"id":6,"options":61,"question":18,"source":29,"type":30},[],[8,9,10,11],{"answer":63,"createTime":5,"id":64,"options":65,"question":70,"source":29,"type":40},[],85613076,[66,67,68,69],"0-1标准化","Z-score标准化","log函数转换","反正切函数","数据标准化与归一化方法?( )",{"answer":72,"createTime":5,"id":73,"options":74,"question":77,"source":29,"type":78},[],85613095,[75,76],"对","错","密度可达是不具有传递性的.( )",3,{"answer":80,"createTime":5,"id":81,"options":82,"question":87,"source":29,"type":30},[],85613098,[83,84,85,86],"与随机误差项不相关","与残差项不相关","与被解释变量不相关","与回归值不相关","按经典假设,线性回归模型中的解释变量应是非随机变量, 且( )",{"answer":89,"createTime":5,"id":90,"options":91,"question":92,"source":29,"type":78},[],85613104,[75,76],"判别分析是多元统计分析中用于判别样本类型的一种统计分析方法.( )",{"answer":94,"createTime":5,"id":95,"options":96,"question":97,"source":29,"type":78},[],85613118,[75,76],"Aprior算法的优点是算法步骤的时间比较长.( )"]