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

• The experiment shows that interestingness could reduce the number of rules while no interestingness could achieve optimal result for all data sets. Lastly, associative classification is used in electronical recommendation system.
  实验结果表明兴趣度可减少规则的数量但没有一个兴趣度对于所有数据集都能够达到最优的分类效果。最后，本文将关联分类应用于电子商务推荐系统中。
• 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。
• A measure of Association Rule Interestingness
  关联规则兴趣度的度量
• 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
• An Overview of Measures of Interestingness
  感兴趣度的研究综述
• 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。
• 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。
• WWW Personalized Information Retrieval Based on Measures of Interestingness
  基于感兴趣度的WWW个性化信息发现
• 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。
• Mining Optimized Support and Interestingness Quantitative Association Rules
  挖掘支持度和兴趣度最优的数量关联规则