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

• 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
• The current personalized recommendation system is based on the correlation ship between users and products, that is, it predicts the interestingness of users to products according to the existing consuming behavior or the evaluations and recommend personally.
  当前个性化推荐系统是基于用户和产品之间的相关关系，即通过用户已有的购买行为或对产品的评价来预测用户对待推荐产品的兴趣度，进而进行个性化商品推荐。
• An Overview of Measures of Interestingness
  感兴趣度的研究综述
• 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。
• 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。
• It uses interestingness threshold to filter rules in order to reduce the number of association rules, which are useless, inappropriate.
  兴趣度模型采用兴趣度参数对规则进行筛选，减少关联规则的个数，去掉一些无用、不合适的规则。
• For objective measure the interestingness of association rules is first defined on the basis of the support and confidence of association rules and the interestingness of association rules is then eval-uated accordingly.
  在关联规则的置信度和支持度基础上对关联规则的有趣性的客观评测增加了约束。
• 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。
• Interestingness Research of Association Rules in Incremental Mining Data
  兴趣度在增量的关联规则挖掘中的研究
• 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。