| 1. | Technology of knowledge discovery in database and its application
数据库知识发现技术及应用 |
| 2. | Attribute reduction algorithm based on rough sets theory in database knowledge discovery
基于粗集理论的数据库知识发现的属性约简算法 |
| 3. | These algorithms are all implemented in our kdd software knowledgeinside
以上提及的算法在我们的数据库知识发现软件系统knowlegeinside中都得到了实现。 |
| 4. | Data mining technology has a close relationship with database technology , statistics and kdd ; on the other hand , they are quite different
数据挖掘技术与统计学、数据库技术、数据库知识发现等学科与密切的联系，也有明显的不同。 |
| 5. | This article introduces the kdd activity the request that launch and puts great emphasis on its characteristic and value by technique processing
摘要介绍了数据库知识发现( kdd )活动的展开要求，著重从它的技术处理流程来分析它的特性及其存在价值与意义。 |
| 6. | With the increase of data quantity , the problem of ability to deal with the data of instrument which used for data mining seems outstanding day by day
随着数据量的增加,数据挖掘工具处理海量数据的能力问题显得日益突出。数据挖掘通常又称数据库知识发现。 |
| 7. | Knowledge discovery in databases ( kdd ) aims at analyzing massive mount of data and extracting meaningful and comprehensible patterns , called knowledge
数据库知识发现( knowledgediscoveryindatabases , kdd )是从大量数据中发现潜在规律、提取有用知识的方法和技术。 |
| 8. | Mining association rules is an important data mining problem which is to find the interested , hidden and unknown knowledge that can be discovered from large database
数据挖掘就是从大量数据中提取和挖掘知识，故又称为数据库知识发现。关联分析发现关联规则是数据挖掘中最活跃的领域。 |
| 9. | In recent years , kdd has got domestic and international widespread concern and has been becoming most hot researching realm in the field of information systems and computer science
近年来，数据库知识发现kdd受到了国内外的普遍关注，已经成为信息系统和计算机科学领域研究中最活跃的前沿领域。 |
| 10. | The paper analyzes mobile agent and knowledge discovered in database , and puts forward the model of knowledge discovered in database in the distributed environment applied to quality following sub - system of workshop ims
本文还分析了移动agent和数据库中的知识发现，建立了用于workshopims质量跟踪管理子系统中分布式环境下的数据库知识发现模型。 |
