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数据库知识发现 meaning in English

knowledge discovery in database, kdd

Examples

  1. Based on integration of " high yield & benefit and good grain quality of modeled cultivation of foodstuff crop ( rice ) and its consultation system " , this thesis sets it ultimate goal to deal with the knowledge discovery in the consultation system of simulation - optimization decision making in quality and high - yielding rice cultivation . after a close study of the features of the database in rice cultivation , this thesis introduces the system engineering theory of agent aralysing and designing and offers a practical new way to promote the intelligence of the knowledge discovery system in rice cultivation database , to improve the efficiency of data mining and the human - computer interactive ability to realize the integrated knowledge - based combination between human and computer or among the sub - systems
    本文以广西“粮食作物(水稻)两高一优模式栽培技术集成与咨询系统研究”为背景,以基于专家系统( es )的水稻优质高产栽培模拟优化决策咨询系统的知识获取问题为导向,针对水稻栽培数据库的特点,从系统工程角度引入面向agent的分析与设计思想,提出一种用多agent从水稻栽培数据库中发现知识的人机合作、半自动的知识获取方法,实现利用多agent的自主性、反应性和社会性,提高水稻栽培数据库知识发现系统的智能水平、数据挖掘效率和人机交互能力,实现人机之间、各子系统之间基于知识的柔性综合集成,为水稻栽培知识发现提供了一条新的可行途径。
  2. With dramatic advance and wide application of the internet and information systems , we can easily attain large quantities of data that is also in rapid increment daily . thereby it becomes impractical to handle these data manually . we wish that computers can automatically process these data and extract potentially useful knowledge from them to help us arrange managements and make decisions
    随着互联网和信息系统的迅猛发展和广泛应用,人们可以轻易地获得海量的数据,并且这些数据还在日益不断地增长中,对这样的数据仍然采用传统的人工处理方法变得不切实际,于是希望计算机能够自动地帮助我们处理这些海量的数据,并提取出隐含的有价值的知识,辅助管理和决策,这就需要研究者对机器学习,特别是数据库知识发现作更加深入和广泛的研究。
  3. By business ’ s retailing is in a high speed development , in the business we immediately need a set of common business assistant decision support system beyond the old operation ’ s system . that use rs ’ s data analysis tool is better to discover the knowledge of a big size of business database
    随着商业零售业的高速发展,商业上迫切需要在原有业务系统的基础上有一套比较通用的商业辅助决策支持系统。使用粗糙集的数据分析工具,比较适合大规模的商业数据库知识发现的需要。
  4. Data mining and knowledge discovery in database ( kdd ) is a rapidly emerging research field , relevant to artificial intelligence , database system and statistics . it is the nontrivial process of mining the interesting , potentially useful , valid and understandable knowledge from data
    数据挖掘与数据库知识发现( knowledgediscoveryindatabases , kdd )是当前涉及人工智能、数据库、统计学等学科的一门相当活跃的研究领域,是从数据中提取人们感兴趣的、潜在的、可用的知识,并表示成用户可理解的形式。
  5. In the end , the thesis proposed a system model for knowledge discovery in agriculture database based on rough sets theory . since the research of knowledge " discovery in agriculture database is still in the early development , the whole solution proposed in this thesis is excepted to provide certain cognition and sample method for current knowledge discovery in agriculture database research .
    数据库中的知识发现研究仍然处于起步阶段,它在农业领域中还有许多问题值得探讨。本文所提出的基于粗糙集理论的农业数据库知识发现方案试图为我国农业数据库的知识发现领域提供一种新的认识和尝试性方法。
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Related Words

  1. 知识
  2. 数据库
  3. 产品知识
  4. 知识点滴
  5. 销货知识
  6. 共享知识
  7. 必备知识
  8. 知识营销
  9. 知识探求
  10. 军事知识
  11. 数据库正规化
  12. 数据库知识表示
  13. 数据库之表格入口
  14. 数据库中的数据输入到
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