Chinese translation for "negative item"

负向题目

Related Translations:

insolation item:  检验项目

negative grouping:  负性基

negative reinforement:  负强化

negative conformer:  底片组合员

negative booster:  减压机减压器降压器

negative signs:  阴性星座

negative letter:  否定信

negative capital:  负债。

negative achnowledgement:  否定确认，否定应答信号

border negative:  印花边底片

Example Sentences:

	1.	Paper presentes a new algorithm of mining frequent item sets with negative items 论文提出一种新的挖掘含负项目的频繁项集算法,即基于频繁模式树的算法。
	2.	In addition , the paper discusses the contradictions of generalizing associaton rules with negative items 论文另外对含负项目的一般化关联规则的矛盾性进行了讨论。
	3.	At present , positive association rules have been widely concerned , but association rules with negative attributes or negative items are not given sufficient attentiones 当前,正关联规则的挖掘受到了广泛的关注,而对于包含负属性或负项目的关联规则并未给予足够的重视。
	4.	Based on the confidence property and interest threshold , this paper uses for reference apriori algorithm and makes a method for extracting out generalizing associaton rules with negative items from the frequent itemsets with negative items 论文基于置信度性质和兴趣度阈值,并借用apriori算法,从挖掘出的含负项目的频繁项集中提取出含负项目的一般化关联规则。
	5.	The algorithm is based on the frequent pattern tree , which uses for reference a compressed storage data structure i . e . frequent pattern tree of fp _ growth algorithm . it mines frequent item sets with negative items through extending frequent patterns on the tree 该算法借用fp _ growth算法中频繁模式树这种压缩存储事务的数据结构,通过频繁模式树进行模式扩展,挖掘含负项目的频繁项集。
	6.	Not only the existing algorithms of mining negative association rules and association rules with negative items are very few , but also they are essentially based upon the iterative algorithms of apriori idea , which needs multiple times scanning data sets and generating large amounts of frequent candidate sets 现有的挖掘负关联规则以及含负项目的关联规则算法为数不多,而且本质上都是基于apriori思想的迭代算法,需要对数据集进行多次扫描,同时生成大量的候选频繁项集。
	7.	In addition , comparing to direct using fp _ growth algorithms , this algorithm has no need to expand negative item to original database , and construc or destruct additional data structures , which only make some changes on the original frequent pattern tree , so it has certain advantages in time and space costs 除此之外,该算法与直接使用fp _ growth算法挖掘含负项目的频繁项集算法相比,无需对原始数据库进行负项目的扩展,也不用再构造并销毁额外的数据结构,只需在原始的频繁模式树上修改,在时间和空间的开销上都具有一定的优势。
	8.	The concept of interestingness is redefined within the scope of probability , which is the base of the introduction of the negative items . with the bound of the negative items , an algorithm iar , which can generate the rules with negative items , is proposed . these works complete the semantics of the rules , as well as make the rules more meaningful , especially in the case of concept hierarchy consideration 通过在统一的概率论的范畴内重新定义兴趣度的概念，使得负项的引入有了理论依据，并通过对负项的进一步限定，提出产生包含负项的关联规则iar算法，使关联规则包含的语义更加完整，规则本身也更有意义，特别是在有概念层次的情况下。

Similar Words：

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