1) Web mining
互联网挖掘
2) Web mining
互联网信息挖掘
3) knowledge mining/internet
知识挖掘/互联网
4) complement mining
互补挖掘
1.
Research and application of transaction complement mining algorithm;
一种事务互补挖掘算法的研究及应用
5) 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。
补充资料：国际互联网
见“因特网”。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条