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- wordsl Association rule mining 关联规则挖掘
- Association rule mining is an important task of data mining. 关联规则是数据开采的重要研究内容 .
- Association rule mining is an important problem in data mining and KDD, which has been researched widely. 关联规则挖掘是数据挖掘和知识发现中的一个重要问题,自提出以来得到了广泛的研究。
- The date-set are managed equally and conformably in the traditional association rule mining algorithm. 传统的关联规则挖掘算法对更新的数据集按平等一致的方式加以处理。
- Association Rule Mining is an important branch of data mining, and becomes one of the widest applied data mining styles. 关联规则采掘是数据采掘中的一个重要分支，也是目前应用最广泛的一种数据采掘类型。
- Then, the algorithms of association rule mining is discussed, covering issues from Apriori algorithm to its improved algorithms. 然后,对关联规则挖掘算法做了深入的研究,分析总结了关联规则中经典的Apriori算法及其改进算法。
- And then a multi-platform, easy-extensible, suitable for distributed environment and web-based services distributed association rule mining algorithm FDM-GS (FDM with global site) were proposed. 然后提出了一种跨平台的,易扩展的,适用于分布环境下的基于Web服务的分布式数据挖掘系统架构。 并结合上述系统的特点,给出一个该系统中的分布式关联规则挖掘算法FDM-GS(FDM with global site)。
- Thirdly, the thesis introduces in detail DHP (Direct Hashing and Pruning) algorithm and FARM (Fast Association Rule Mining) which is an algorithm improved on the basis of Apriori and DHP. 接着，详细介绍了DHP(Direct Hashing and Pruning)算法及在Apriori算法和DHP算法基础上的快速挖掘算法FARM(Fast Association Rule Mining)；
- The searching space of frequent temporal sequence patterns could be reduced and the efficiency of association rule mining could be improved by projecting frequent items in time windows to prefix projected accumulation trees. 将时间窗口内频繁项的信息映射到前缀映射累加树中，以降低频繁时序模式的搜索空间，提高时序关联规则的挖掘效率。
- Based on the complexity of multi-media information content, multi-media association rule mining arithmetic is introduced in the forth part, which will be applied to multi-channel retrieval system. 针对多媒体信息内容的复杂性,文章的第四部分介绍了多媒体关联规则挖掘算法,对将其应用于多通道检索进行了初步探讨。
- A set of fuzzy association rules mined from the networ... 最后,文中利用遗传算法优化模糊成员函数来选择其参数。
- Although the values are numeric, association rules mining requires the values to be categorical. 虽然都是整型值,关联规则挖掘要求值是无条件的。
- Authors propose association rules mining approach based on iceberg queries for analyzing the corelation between net flow and each IP address, and acquire quite good results. 作者采用基于冰山查询的关联规则挖掘方法,对网络流量与各IP之间的联系进行关联分析,取得了较好的效果。
- This paper firstly presents a power set-based association rules mining algorithm which uses pow er set as an association rules mining tool. 首次提出了利用幂集作为挖掘关联规则的工具,给出了基于幂集的关联规则挖掘算法。
- Fpmine-SPF algorithm has a far taster speed in association rules mining than the widely used Apriori algorithm and has wonderful scalability. Fpmine-SPF算法挖掘关联规则的速度远快于较长期以来广泛使用的Apriori算法，并有相当好的可伸缩性。
- By making a survey of the theories and approaches, we proposed the iFP-Growth algorithm for the association rules mining for the web content data. 本文总结了多种从Web页面中提取半结构化数据的理论与方法，针对Web内容数据的特点，提出的增量式挖掘方法iFP-Growth，使传统的FP-Growth方法适应于动态数据环境的关联规则挖掘。
- Data mining is a new technology to mine valuable informatin from abundant data, and association rules mining is a method of data mining. 数据挖掘就是从大量数据中获取有用信息的一门新技术，关联规则挖掘是数据挖掘方法中的一种。
- Finally a summary and an expectation are made for the method integrating the SVM with ATMS-based association rules mining. 最后对这种集成了支持向量机和关联规则挖掘的技术做了总结和展望。
- This paper elaborates on the process of the design and development of association rules mining system based on Apriori . 随着大量数据不停地收集和存储，许多业界人士对于从他们的数据库中挖掘关联规则越来越感兴趣。
- Section3 introduces the Association rules mining, analyzes the Apriori algorithm, and explains the implementation of Association rules mining in EDWP-Miner in detail. 第三章介绍了关联规则的研究，分析了Apriori算法，详细阐述了EDWP-Miner中关联规则挖掘的、实现过程。
