52古典>英语词典>interestingness翻译和用法

interestingness

网络  趣味性; 有趣的; 兴趣度; 有趣性; 兴趣性

英英释义

noun

  • the power of attracting or holding one's attention (because it is unusual or exciting etc.)
    1. they said nothing of great interest
    2. primary colors can add interest to a room
    Synonym:interest

双语例句

  • A m_d distance measure for evaluating the subject interestingness of data warehouse
    评估数据仓库主题兴趣度的Md距离测度方法
  • Lastly an algorithm of measuring interestingness of data mining schema based on user expectation and fuzzy logic is presented.
    最后对数据挖掘结果模式的价值进行了深入分析,利用模糊逻辑技术,在现有的兴趣度测量方式的基础上,介绍了一种新的模式兴趣度测量算法。
  • Associative and Correlative Regular Mining Based on Interestingness and PC-tree for Medical Images Data
    基于兴趣度和PC-树的医学图像数据关联且相关规则挖掘
  • The Comparative Study on Interestingness Measures for Mining Association Rules
    关联规则兴趣度度量方法的比较研究
  • WWW Personalized Information Retrieval Based on Measures of Interestingness
    基于感兴趣度的WWW个性化信息发现
  • The Interestingness Measure and its Application in Learning Guidance System
    兴趣度在选课指导系统中的研究与应用
  • At the same time, the users 'interested changes are tracked dynamically according to the reading actions, and the interesting ontological profile is submitted, then the measure of interestingness is analyzed and calculated.
    再借助精细语义逐句解读其内容,提取用户所关注的信息.根据用户的阅读行为动态了解用户的兴趣变化,建立用户兴趣的本体模型,并分析和定义了用户兴趣度的度量。
  • After adding the subjective factors, it further improves the interestingness of the rules and reduces lots of unwanted or rubbish rules.
    增加主观性因素后能进一步提高规则的有趣性,减少一些无用,垃圾规则。
  • After introduction of some typical Web log preprocessing techniques, it is pointed out that the frame pages in a Web site can reduce the interestingness of the result page groups. Then, a frame-filtering algorithm is proposed to solve this problem.
    在介绍了典型的数据预处理技术的基础上,指出Frame页面降低了挖掘结果的兴趣性,并提出相应的解决方法&Frame页面过滤算法消除其影响。
  • In this paper, some common interestingness are introduced and an experiment compares the classification impact of different interestingness on different data sets.
    本文对目前比较常见的兴趣度进行了总结,并通过实验比较了不同兴趣度对于不同数据集的分类效果。