1) concept tree
概念树
1.
Research on Chinese text retrieval based on expansion of concept tree;
基于概念树扩展的中文文本检索研究
2.
The Research on the Focused Crawling Technology Based on the Concept Tree;
基于概念树的主题爬取技术研究
3.
According to the features of EIS and Data Mining, two algorithms namely concept tree algorithm and decision tree algorithm are selected and used in EIS.
并根据ＥＩＳ和数据挖掘各自的特点，以概念树算法和决策树算法为例，在分析了它们的算法原理的基础上，探讨了通过属性值间概念存在的层次关系实现ＥＩＳ数据查询的逐级细化；根据信息论原理，以分类学习为基础，通过计算各属性所含信息量大小，得出判断规则，为ＥＩＳ辅助决策提供支持。
2) General concept tree
泛概念树
3) property-concept-tree
属性-概念树
4) concept hierarchy tree
概念层次树
1.
This paper improves traditional collaborative filtering algorithm,proposes a new user profile based on concept hierarchy tree,which can make recommender systems still work even when users have no common rating items.
改进了传统的协同过滤算法,提出了基于概念层次树的用户模型,利用该模型进行协同运算,使系统在用户共同评分项极其稀疏时也能产生推荐。
5) concept level tree
概念层次树
1.
It’s basic idea is to be construct the concept level tree by the database and the Web log,accords to express the itemsets support of the crossover level by application the interval support, and gives to mining multilevel association rule by application the method of the level tree pruning and the increment renewal.
提出了一个快速有效的增量更新挖掘多层关联规则算法MLARU,其基本思想是通过数据库和Web日志构建概念层次树,采用区间支持度的方法表示交叉层次的项集支持度,并采用根据层次树剪枝和增量更新的方法来挖掘多层关联规则。
6) domain concept tree
领域概念树
1.
Two concepts,domain concept tree and accuracy level node set,are proposed based on domain ontologies.
对数据清洗过程中的语义问题进行了分类,基于领域本体提出了领域概念树和精确度水平节点集的概念。
补充资料：海南龙血树（小花龙血树）
百合科Liliaceae
乔木状，高3-4m。叶聚生于茎和枝顶，几呈套叠状，长约70cm，抱茎，无柄。圆锥花序长约30cm，花序轴无毛或近无毛。分布于海南西南部，生于背风区的干燥砂土上。越南、柬埔寨也有分布。国家三级保护濒危种。
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