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规则采集
相关语句
  rule mining
    An Association Rule Mining Algorithm Based on Multiple Supports
    一种多支持度的关联规则采集算法
短句来源
    Association rule mining is an important model in data mining.
    关联规则采集是数据采集中的一类重要模型。
短句来源
  “规则采集”译为未确定词的双语例句
    Its mining algorithms discover all item associations (or rule) in the data that satisfy the user-specified minimum support (minsup) and minimum confidence (minconf) constraints.
    规则采集算法用来发现数据中所有满足用户指定的最小支持度和最小可信度的子项关联(即规则)。
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  rule mining
The structure of operation optimi-zation based on data mining is established and the fuzzy association rule mining algorithm is introduced to find the operation optimization target value to guide the operation in power plants.
      
The paper proposes a novel clustering algorithm CFSBC based on closed frequent itemsets derived from association rule mining, which can get the clustering attributes with high efficiency.
      
A fast distributed algorithm for association rule mining based on binary coding mapping relation
      
Association rule mining is an important issue in data mining.
      
Applying this idea in the existed distributed association rule mining algorithm FDM, the improved algorithm BFDM is proposed.
      
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Association rule mining is an important model in data mining. Its mining algorithms discover all item associations (or rule) in the data that satisfy the user-specified minimum support (minsup) and minimum confidence (minconf) constraints. In order to avoid rare item problem, Liu Bing proposed a model with multiple minimum supports. This paper proposes a new algorithm based on the multiple minimum model.

关联规则采集是数据采集中的一类重要模型。规则采集算法用来发现数据中所有满足用户指定的最小支持度和最小可信度的子项关联(即规则)。国外某些学者提出了一个多支持度的模型,解决了单支持度模型中可能出现的稀有子项问题。基于该多支持度的模型提出了一种新的数据采集算法。

 
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