数据库知识发现 meaning in English
knowledge discovery in database, kdd
Examples
- The thesis concentrates on how to deploy knowledge discovery in database of agriculture field to do research , and provides an in - depth analysis and solution on knowledge discovery in agriculture database based on rough sets theory
本文围绕如何根据农业领域的数据特性实现其知识发现，展开研究和讨论，提出了基于粗糙集理论的农业数据库知识发现方案。 - Knowledge discovery in database is a rather active research domain that involves statistics , database , etc . it is an unusual process that finds out the effective , fresh , latent - effective mode which can be finally apprehensible
数据库知识发现( kdd )是涉及统计学、数据库等学科的一门相当活跃的研究领域，是从数据集中识别出有效的、新颖的、潜在有效的以及最终可理解的模式的非平凡过程。 - As one of most important aspect of knowledge discovery in agriculture database , attributes reduction althorisms were put into efforts to be analyzed and a new reduction althorism that was proved to be able to increase reduction efficiency was eventually forwarded
最后，针对农业领域的数据特性和挖掘的具体任务，结合前几步的研究结果提出了一种基于粗糙集理论的农业数据库知识发现系统模型。 - The second part of the thesis tries to construct the architecture of multi - agent knowledage discovery system in rice cultivation database ( makdsrcd ) , and build a system model on it . the functions of those respective components and the operation procedure of the system are also described in this part
本文第二章建立了基于多agent的水稻栽培数据库知识发现系统( makdsrcd )的体系结构，并在此基础上构建出用于描述系统各构成实体功能及系统运行过程的系统模型。 - Knowledge discovery in database which widely applies statistics theory , rough sets theory , fuzzy theory . machine learning as well as expert systems and other scientific ways is essentially the nontrivial process of identifying valid , novel , potentially useful and ultimately understandable patterns in data as one of technology theories applying for knowledge discovery in database , rough sets theory which mainly targets to identify incomplete and uncertain data was forwarded by z pawlak in 1982
数据库知识发现通过综合运用统计学、粗糙集、模糊数学、机器学习和专家系统等多种技术从各种数据库中提炼出先前未知的、平凡的、具有潜在应用价值的信息或模式，从而揭示出蕴涵在这些数据背后的内在联系和本质规律，指导人们有效地利用数据库中的数据并为正确决策提供依据。