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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

  • As an important photoelectric exposure, field emission properties of III nitride semiconductors have attracted widely interestingness of researchers.
    而III族氮化物半导体场发射研究作为其光电特性的重要研究方向,引起了人们广泛关注。
  • 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。
  • 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。
  • On the other hand, the ironic language enhances the readability, interestingness and perceptibility of the novel, and provides a fresh aesthetic pleasure to the reader.
    另一方面,反讽式的语言增强了小说的趣味性和可读性,提高了小说的可感性,并使读者获得新的审美愉悦。
  • 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。
  • An Overview of Measures of Interestingness
    感兴趣度的研究综述
  • 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。
  • 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
  • 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
  • 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。