Chinese translation for "frequent itemset"

频繁项集

Related Translations:

frequenter:  n.常客，常往来的人。

frequent:  adj.1.屡次的，常见的；频繁的。2.(脉搏等)急促的，快的。短语和例子a frequent caller [visitor] 常客。 a frequent occurence 经常发生的事情。 a coast with frequent lighthouses 灯塔密布的海岸。vt.1. 常去，时常出入于。2.与…时常交际[来往]。短语和例子Tourists frequ

frequent combinations:  频遇组合

frequent pulse:  脉博频速脉搏频速频脉数脉

frequent species:  常见种类

frequent sweat:  常流汗头汗

frequent attacks:  发作频繁

frequent fault:  常见错误

frequent transactions:  经常性交易

most frequent:  最经常的

Example Sentences:

	1.	A bit string array - based mining algorithm for maximum frequent itemset 基于位串数组的最大频繁项目集挖掘算法
	2.	The problem of fuzzy constraint in frequent itemset mining is studied 摘要研究频繁项集挖掘中的模糊约束问题。
	3.	Most of the previous studies adopt an apriori - like heuristic , that is , any subset of frequent itemset is frequent itemsets 目前绝大多数频繁集产生算法都是采用类似apriori算法的思想即一个频繁集的任意子集都是频繁集。
	4.	Aims at the inherent fault of the apriori algorithm , analyzes and realizes the fp - growth which does not generate candidate mining frequent itemset 针对apriori算法的固有缺陷，对不产生候选挖掘频繁项集方法- - fp - growth频集算法进行分析并加以实现。
	5.	Data mining , association rule , frequent itemset , sample error , multi - scaling sampling references 1 evfimievski a , srikant r , agrawal r , gehrke j . privacypreserving mining of association rules 已有的研究表明：根据数据库的特性，动态的选取样本大小进而获取可接受的近似关联规则的自适应取样方法是解决上述问题的一种好方法。
	6.	In this paper , we propose a novel approach using sentential frequent itemset , a concept comes from association rule mining , for text classification , which views a sentence rather than a document as a transaction , and uses a variable precision rough set based method to evaluate each sentential frequent itemset s contribution to the classification 为了解决这一问题，参考目前的数据挖掘领域的工作，提出了一个文档数据库模型，即将每一篇文档映射为一个文档数据库，文档中的每个句子看作数据库中的一个交易，每一个词看作一个项目。
	7.	The paper adopts the design of the ceedm and the association rule mining technology which is charged by the author , studies the important notation , method and strategy of data mining technologies , discusses the application and realize of association rule mining technology emphatically , and aims at the inherent fault of the apriori algorithm , analyzes and realizes the fp - growth which does not generate candidate mining frequent itemset 本文结合数据挖掘系统ceedm的设计与系统中作者负责实现的关联规则挖掘技术部分，对数据挖掘技术中的一些重要的概念、方法和策略进行研究，集中讨论了关联规则挖掘技术在ceedm系统中的应用与实现，并针对apriori算法的固有缺陷，对不产生候选挖掘频繁项集方法- - fp - growth频集算法进行分析并加以实现。
	8.	The result shows that the time complexity of algorithm is linear with the increment of transaction if the average length of transaction and frequent itemsets is invariable , but it is inefficient to the increament of item average length ( including transaction length and frequent itemset length ) 结果表明：在事务平均长度和频繁数据项集一定条件下事务规模对算法的时间复杂性影响是线性的；但算法却不能很好解决数据项长度(事务和频繁数据项平均长度)增大对其性能的影响。

Similar Words：

"frequent incontinence of urination" Chinese translation, "frequent infantile diarrhea" Chinese translation, "frequent influxes of visitors" Chinese translation, "frequent interval" Chinese translation, "frequent irrigation" Chinese translation, "frequent mictruaition" Chinese translation, "frequent micturition" Chinese translation, "frequent micturition with profuse urine" Chinese translation, "frequent mixing" Chinese translation, "frequent nausea" Chinese translation