1) Global association data-mining
全局关联挖掘
2) association mining
关联挖掘
1.
We refer to association mining theory in data mining field,and present a self-adaptive component retrieval model with user-feedback and the association mining-based self-adaptive learning algorithm.
针对基于刻面描述的软件构件 ,借鉴数据挖掘中关联规则挖掘的有关理论 ,提出了带有用户反馈的自适应构件检索模型以及基于关联挖掘的自适应学习算法 ,从用户检索的历史记录中挖掘用户的显式检索条件与隐性检索需求之间的内在联系 ,从而完整化和精确化用户的检索条件 ,提高构件检索的查准率 。
2.
This paper first focuses on technology of query interface matching, and proposed a new matching method which uses association mining mines positively correlated attributes to form potential group attributes, and finds synonym attributes by clustering on the base of existed methods, then implements a Deep Web Data Integration System in the field of book.
针对现有方法不能有效处理查询接口复杂匹配问题,本文提出一种新的匹配方法,利用正相关关联挖掘发现潜在的成组属性组,并将成组属性作为单个属性,对具有相同语义的属性进行语义聚类,达到匹配目的。
4) Association Rule Mining Tool
关联规则挖掘器
5) association rule mining
关联规则挖掘
1.
Research on Association Rule Mining Base on Privacy Preserving;
基于隐私保护的关联规则挖掘研究
2.
Research of Grid-based Distributed Association Rule Mining System Model and Algorithms;
基于网格的分布式关联规则挖掘系统模型与算法研究
3.
Research and Application of Conditional Independences in Association Rule Mining;
条件独立性在关联规则挖掘中的研究和应用
6) association rules mining
关联规则挖掘
1.
Study on association rules mining based on semantic relativity;
基于语义相关性的关联规则挖掘研究(英文)
2.
An association rules mining method based on hybrid ant colony algorithm
一种基于混合蚁群算法的关联规则挖掘方法
3.
The definition of strong association rules is proposed, procedure based on strong association rules mining is presented specially for this application.
分析了面向大规模定制的个性化推荐的特征,并给出了基于关联规则挖掘的个性化推荐模型。
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