| 基于操作序列挖掘的OLAP查询推荐方法 |
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| 引用本文： | 陈岭,陈元中,陈根才. 基于操作序列挖掘的OLAP查询推荐方法[J]. 东南大学学报(自然科学版), 2011, 0(3): 498-504 |
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| 作者姓名： | 陈岭 陈元中 陈根才 |
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| 作者单位： | 浙江大学计算机科学与技术学院; |
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| 基金项目： | 国家自然科学基金资助项目(60703040); 浙江省科技计划优先主题资助项目(2007C13019); 浙江省自然科学基金资助项目(Y107178) |
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| 摘 要： | 针对联机分析处理(OLAP)操作复杂导致的用户使用效率低下问题,提出基于操作序列挖掘的OLAP查询推荐方法.首先从多维表达式(MDX)查询语句记录中提取整数数列形式的查询序列,再利用PrefixSpan方法对查询序列进行频繁序列模式挖掘,并基于挖掘出的模式及其子模式建立概率矩阵,最后通过搜索与用户当前查询操作或查询序列...
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| 关 键 词： | 联机分析处理 数据挖掘 查询推荐 |
Operation sequence mining based OLAP query recommendation method |
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| Chen Ling Chen Yuanzhong Chen Gencai. Operation sequence mining based OLAP query recommendation method[J]. Journal of Southeast University(Natural Science Edition), 2011, 0(3): 498-504 |
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| Authors: | Chen Ling Chen Yuanzhong Chen Gencai |
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| Affiliation: | Chen Ling Chen Yuanzhong Chen Gencai(College of Computer Science and Technology,Zhejiang University,Hangzhou 310027,China) |
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| Abstract: | An operation sequence mining based OLAP(online analytical processing) query recommendation method is proposed to counter the low efficiency problem caused by the complexity of OLAP query operations.First,query sequences in the form of numerical array are extracted from continuous MDX(multidimensional expression) query operations.Then,the PrefixSpan mining algorithm is exploited to obtain the frequent sequential patterns from query sequences,and a matrix of probabilities is established upon mined patterns an... |
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| Keywords: | online analytical processing(OLAP) data mining query recommendation |
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