片语

half concept lattice半概念格

concept galois lattice概念格

pruned concept lattice剪枝概念格

Aggregate Concept Lattice聚集概念格

constrained concept lattice约束概念格

Tripartite Concept Lattice三分的概念网格

英汉例句

• a method based on nth-order context kernel different from traditional algorithms for concept lattice constructing, is suggested in this paper.

  在模糊形式背景下，讨论了模糊概念的一种定义方式及其性质，并由此定义了模糊概念格。

• concept lattice ( galois lattice ) is a formalized tool for concept discovery from data , and has been widely used in many scientific applications.

  概念格模型作为一种用于数据分析的形式化的工具，已经在众多的领域中获得了广泛的应用。

• in a fixed formal context, the method to construct concept lattice by adding attributes step by step is investigated.

  研究在给定的形式背景下，通过逐步添加属性建造概念格的方法。

• concept lattice information screening anchoring effect analogical anchors;

  概念格；信息甄别；锚定效应；类比锚；

• moreover, this thesis compares fca with clustering analysis, and analyzes the similarities and differences of classification based on concept lattice and decision tree.

  另外，本文在相关章节对形式概念分析和聚类分析进行比较以及分析总结了基于概念格的分类和决策树分类法的异同。

• concept lattice is the core of formal concept analysis (fca). a novel algorithm of constructing concept lattice based on evolutionism is proposed.

  提出一种新的基于进化论观点的概念格构建方法。

• however, because of the specialty of self-contained, the time and space complexity of building concept lattice has always been one of the main obstacles that restrict it from being applied.

  可是由于概念格自身的完备性，构造概念格的时间、空间复杂度一直是影响形式概念分析应用的主要障碍。

• concept lattice is recently fast developed as a tool for data analysis and rule exaction .

  概念格是近年来获得飞速发展的数据分析的有力工具。

• next, a fast fuzzy conceptual clustering algorithm is proposed to cluster the fuzzy concept lattice into conceptual clusters.

  提出了一种在格的拓扑序列上进行概念聚类的快速算法，并且定义了概念聚类间基于偏序的层次关系。

• absrtact: as an excellent formal concept analysis tool, concept lattice has been applied in data mining, ai, and knowledge extraction.

  摘 要：概念格作为一种很好的形式化概念分析工具，被应用于数据挖掘、人工智能和知识提取等领域。

• concept lattice is a newly prosperous knowledge representation model and is the core data structure of formal concept analysis.

  概念格是一种新兴的基于概念的知识表示模型，是形式概念分析的核心数据结构。

• the way of computing immediate predecessor (successor) of the new element is given, so the problem of constructing concept lattice is solved on condition that the attribute set is constant.

  确定了新节点在原概念格中的直接子节点和直接父节点的计算方法，解决了生成新节点后的连线接问题。

• the formal concept definitions of grid and resource are given and the grid resource real concept lattice model is proposed.

  给出了网格、资源的形式概念定义，建立了网格资源实概念格模型。

• with the combination of attribute reduction in concept lattice, the model provides users with a semantic matching model based on concept lattice of theoretical value.

  结合概念格属性约简等知识，该模型为用户提供一种有价值的基于概念格的语义匹配方法。

• as an efficient tool for extracting the certain knowledge, concept lattice is difficult to mining the uncertain information.

  概念格是一种精确的、有效的知识发现模型，难以处理用户感兴趣的不确定知识。

• finally, a simulation experiment of the role of classification based on concept lattice will be realized.

  最后给出了基于概念格的角色分类的一个模拟实验。

• we mainly studed the selecting direction of the spider based on the concept lattice and the matching between the queries and the document.

  本文还研究了概念格的语义匹配算法在网络爬虫的智能爬行方向的选择方面的重要作用。

• by introducing equivalent intension into golois concept lattice, the extending model of concept lattice is gotten which represent the knowledge more clearly and distinctly.

  在概念格的内涵中引入等价关系而得到的概念格扩展模型，能更清晰的表示概念内涵之间的关系，更有利于知识提取。

• results the theory can obtain property oriented concept lattice of the combined formal context through property oriented concept lattices of two original formal contexts.

  结果由两个简单形式背景的面向属性概念格获得了合成形式背景的面向属性概念理论。

• through some theoretical analysis, it is shown that the proposed algorithm can reduce the storage and time complexity of concept lattice construction process.

  理论分析表明，该算法能有效地减少概念格的存储空间和建格时间。

• concept lattice is a powerful tool for concept discovery from data, used to extract hidden knowledge pattern in data.

  而概念格正是从数据中进行概念发现的有力工具，用来发现数据中隐藏的知识模式。