Closed Sequential Pattern Mining Algorithm Based Positional Data

机译：基于闭合的序列模式挖掘算法的位置数据

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This paper proposed a new closed sequential pattern mining algorithm.The algorithm used a list of positional data to reserve the information of item ordering .By using these positional data, we developed two main pruning techniques, backward super-pattern condition and same positional data condition. To ensure correct and compact resulted lattice, we also manipulated some special conditions. From the experimental results, our algorithm outperforms CloSpan in the cases of moderately large datasets and low support threshold.

机译：本文提出了一种新的闭合顺序模式挖掘算法。算法使用位置数据列表来保留项目排序的信息.by使用这些位置数据，我们开发了两个主要修剪技术，向后超级模式条件和相同的位置数据条件。为确保正确且紧凑的晶格，我们还可以操纵一些特殊条件。从实验结果来看，我们的算法在适度大的数据集和低支撑阈值的情况下优于Clowpan。

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来源
《International symposium on intelligent ubiquitous computing and education》|2010年||共5页
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作者
Zhu Zhenxin; Lu Jiaguo;
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正文语种
中图分类计算技术、计算机技术;
关键词
data mining; sequential pattern; dosed sequential pattern; backward super-patter;

机译：数据挖掘;顺序图案;缀合格图案;落后超级;

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1. C3Ro: An efficient mining algorithm of extended-closed contiguous robust sequential patterns in noisy data [J] . Abboud Y., Brun A., Boyer A. Expert Systems with Application . 2019,第OCTa期

机译：C3Ro：噪声数据中扩展-闭合的连续鲁棒顺序模式的有效挖掘算法
2. C3Ro: An efficient mining algorithm of extended-closed contiguous robust sequential patterns in noisy data [J] . Abboud Y., Brun A., Boyer A. Expert systems with applications . 2019,第Octa期

机译：C3RO：嘈杂数据中的扩展闭合连续稳健序列模式的高效挖掘算法
3. An effective algorithm for mining closed sequential patterns and their minimal generators based on prefix trees [J] . Thi-Thiet Pham, Jiawei Luo, Bay Vo International journal of intelligent information and database systems . 2013,第4期

机译：一种有效的基于前缀树的闭合连续模式及其最小生成器挖掘算法
4. Closed Sequential Pattern Mining Algorithm Based Positional Data [C] . Zhu Zhenxin, Lue Jiaguo International conference on teaching and computational science;WTCS 2009 . 2012

机译：基于位置序列的封闭序列模式挖掘算法
5. New algorithms for frequent sequential pattern and itemset data mining in certain and uncertain databases. [D] . Peterson, Erich Allen. 2012

机译：在某些不确定数据库中频繁进行顺序模式和项集数据挖掘的新算法。
6. Type2 diabetes mellitus prediction using data mining algorithms based on the long-noncoding RNAs expression: a comparison of four data mining approaches [O] . Faranak Kazerouni, Azadeh Bayani, Farkhondeh Asadi, 2020

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7. CISpan: Comprehensive incremental mining algorithms of closed sequential patterns for multi-versional software mining [O] . Ding Yuan, Kyuhyung Lee, Hong Cheng, 2008

机译：CIspan：用于多层软件挖掘的闭合序列模式的综合增量挖掘算法

Closed Sequential Pattern Mining Algorithm Based Positional Data

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