interestingness

英

美

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

• 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
• In order to find the useful association rules, the interestingness of mining association rules is discussed.
  关联规则挖掘中的有趣性问题可从客观和主观两个方面对关联规则的兴趣度进行评测。
• 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。
• 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。
• After analyzing the quantitative association rules and interestingness of association rules which are encountered often in distributed association rule mining, the dissertation proposes the methods of changing the quantitative attributions into bool attributions using FCM and Gene algorithm.
  并且，在分析和研究了分布式关联规则挖掘中常见的数量型关联规则、关联规则的兴趣度问题的基础上提出了数量关联规则的聚类划分方法以及兴趣度过滤方法。
• 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。
• At the same time, a new objective interestingness function, which can measure the novelty and simplicity of linguistic value association rules, is given to reduce workload of selecting the interesting linguistic value association rules.
  同时，给出一个能够度量语言值关联规则简洁性和新奇性的客观关注程度（兴趣度）的计算函数，用于减少选取关注语言值关联规则的工作量。
• The problem of discovering association rules consists of four elements: data set, the form of the rule, search algorithm, interestingness measure.
  关联规则发现问题可以归纳为四个要素：数据集、规则形式、搜索方法、兴趣度量。它们分别对应机器学习问题中的数据空间、假设空间、算法、评价标准。
• Those of us who tell ourselves we are curious about the world are actually swimming in evidence that has been filtered again and again in favour of interestingness.
  我们当中那些告诉自己我对世界充满好奇的人，其实是遨游在证据的海洋中，而这些证据早已经过一次又一次过滤，使其有意思。
• WWW Personalized Information Retrieval Based on Measures of Interestingness
  基于感兴趣度的WWW个性化信息发现