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- Data mining,also known as knowledge discovery in databases. 数据采掘,也称数据库中的知识发现。
- data knowledge discovery 数据知识化
- In particular, it plays an increasingly important role in thefield of Data Mining and knowledge Discovery. 近年来它逐步成为数据发掘与知识发现领域中一个不容忽视的方向。
- Data mining, also known as knowledge discovery in database (KDD), is one of the most active fields in database. 数据挖掘又称数据库中的知识发现,是数据库研究最活跃的领域之一。
- Knowledge discovery in databases and data mining aim at semiautomatic tools for analysis of large data sets. 数据库中的知识发现即数据挖掘是致力于大型数据分析中的半自动工具的研究。
- Knowledge discovery in databases, also called data mining, aims at discovery of priviously unknown and potentially useful patterns or knowledge. 在数据库中发现知识,又称为数据发掘,其目标是从大型数据集中发现先前未知的潜在有用的模式或知识。
- For resolving this problem, Knowledge discovery in Data (KDD) and Data-mining Technology are presented to find the information resources. 知识发现和数据挖掘技术就是为迎合这种需要而出现的一种用于开发信息资源的新型数据分析技术。
- The Bayesian approach is suitable for data mining and knowledge discovery problems characterized by probability and statistics. 因此 ,适用于具有概率统计特征的数据采掘和知识发现问题 ,尤其是样本难得或代价昂贵的问题。
- M Fayyad,G Piatertsky-Shapiro,P Smyth and R Uthurusamy. Adavance in Knowledge Discovery and Data Mining. AAAI/MIT Press,1996. 魏长华;王淑礼.;知识发现和数据挖掘的研究
- Data mining(DM) as well as Knowledge discovery in Database(KDD) is a new and important research field at the present time. 数据挖掘与知识发现是目前一种新的重要的研究领域。
- This paper presents the fundamentals of cloud theory and its applications in spatial data mining and knowledge discovery, focusing on the cloud models and their algorithms. 该文介绍了云理论的基本原理和方法及其在空间数据发掘和知识发现中的应用,重点阐述了云模型及其算法
- In this paper, knowledge discovery (KD) in relational databases is discussed. 文中讨论了关系数据库中的知识发现。
- They provide effective approximate methods for knowledge discovery in FISs. 进而,给出了这两类积分的主要应用:区间数特征对象的分类与融合。
- Mining classification rules is a procedure to construct a classifier through studying the training dataset.It is a very important part of Data Mining and Knowledge Discovery. 分类规则挖掘则是通过对训练样本数据集的学习构造分类规则的过程,是数据挖掘、知识发现的一个重要方面。
- Semi-instructured data is a kind of the important type in networks,and its data extracting and knowledge discovery is the core for semi-structured researches. 半结构化数据是网络中一种重要的数据形式,其数据抽取和知识发现研究是半结构化数据各项研究的核心。
- Data Mining, also called Knowledge Discovery in Database (KDD), is to extract knowledge or models with potential applicative value from large-size database or data warehouse. 数据挖掘,又称数据库中的知识发现,是指从大型数据库或数据仓库中提取具有潜在应用价值的知识或模式。
- As a promising and flourishing frontier of the Information Technology, Data Mining acts as the essential procedure in knowledge discovery in database (KDD). 数据挖掘是知识发现的核心环节,是信息科学技术发展的必然结果。
- Knowledge discovery in databases is the nontrivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in large data set. 数据库中的知识发现是指在大型数据集中识别有效、新奇、潜在有用、且最终可理解模式的非平凡的过程。
- This approach enables end-user to self-build knowledge discovery application on SOA4KD. 通过该方法,用户可以自助地在SOA4KD上实现知识发现应用。
- Outlier detection has always been a hot research field in Knowledge Discovery in Databases (KDD). 孤立点检测一直是知识发现(KDD)中一个活跃的领域,如信用卡欺诈,入侵检测等。