| 1. | Price adjustment by mining negative association rules
基于负关联规则挖掘的价格调整 |
| 2. | Reporting doesn ' t have a negative association attached to it
报告并没有负面关联的含意于其上。 |
| 3. | In fact , it is equally important to mine negative association rules
实际上，挖掘正关联规则和负关联规则是同样重要的。 |
| 4. | This expansion makes hybrid association ru1es a superset of both traditional and negative association rules
它是传统关联规则和负规则的超集。 |
| 5. | On the relevance of data , association rules have positive or negative association rules
关联规则就数据项之间的相关性来说,可以有正负关联规则之分。 |
| 6. | The ma1n contribution of the thesis is that , on the bas is of negative association ru1es , we deve1op the mode1 of hybrid associat ion rules
本文的主要贡献提出并研究了混合关联规则模型。负关联规则作为传统关联规则的对立面，也包含了有用的信息。 |
| 7. | The paper brings forward the generalizing negative association rules , based on changing the definition of traditional positive association rules and emerging negative association rules
论文基于传统的正关联规则和对新兴的负关联规则定义的修改,提出了含负项目的一般化关联规则。 |
| 8. | To fill the iii completeness of data relation , we need negative association rules , just as it needs negative real number in real number system , negative proposition in logic system
正如实数系统中需要负实数、逻辑系统中需要否命题一样，为了满足数据关系的完备性，我们需要负关联规则。 |
| 9. | Why those species - pairs shown positive association or correlation was that they had the similar biological characters and the similar eco - adaptive and segeration niche . why the species pairs shown negative association or correlation was that they had different ecological characters , different adaption and overlapping niche
种对间负关联或负相关，则是由于它们具有不同的生物学特性、对生境具有不同的生态适应性和相互重叠的生态位所致。 |
| 10. | 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。 |
