• DB2 UDB ESE with DPF is ideal to manage OLAP, data warehousing, and data mining workloads.

    具有DPF功能的DB 2UDBESE是管理OLAP、数据仓库和数据挖掘工作负载的理想选择。

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  • The record-breaking MapReduce approach, he said, is useful in physics, cryptography and data mining.

    他还介绍说,破记录的MapReduce方法在物理学,密码学和数据挖掘领域也是很有用的。

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  • There are several techniques for data analysis that are in common use today: query and reporting, multidimensional analysis, and data mining.

    目前,有几种常用的数据分析技术:查询和报表制作、多维分析以及数据挖掘。

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  • DB2 DWE integrates core components for warehouse administration, data transformation, and data mining, as well as OLAP analytics and reporting.

    DB 2DWE集成了用于仓库管理、数据转换、数据挖掘以及OLAP分析和报告的核心组件。

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  • This topic in development USES data warehouse and data mining technology.

    本课题在开发中使用数据仓库及数据挖掘技术。

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  • Technology and application of data warehouse and data mining are discussed.

    对数据仓库和数据挖掘技术及其应用进行了讨论。

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  • Decision tree is a basic learning method in machine learning and data mining.

    决策树是机器学习和数据挖掘领域中一种基本的学习方法。

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  • Data cleansing is an important step both in data warehousing and data mining.

    数据清洗是数据仓库和数据挖掘中非常重要的一个环节。

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  • I would like to focus on bio-informatics, database and data mining technology.

    我希望可以专注于生物信息学,数据库和数据挖掘技术。

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  • The combination of customer relation management and data mining is a trend now.

    客户关系管理与数据挖掘技术的结合已成为一种发展趋势。

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  • So, knowledge discovery and data mining are proposed with a new study field developed.

    因此,知识发现和数据挖掘应运而生,成为一个新的研究领域。

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  • Data warehouse and data mining techniques are key factors of decision supporting system.

    数据仓库和数据挖掘技术是决策支持系统的关键因素。

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  • The model integrates one backup-restore and data mining module for the data of security audit.

    该模型针对安全审计数据,融合了一个备份恢复和数据挖掘模块。

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  • Classification is one of the most basic tasks during the biological statistics and data mining.

    在生物统计以及数据挖掘中,分类预测是最基本的任务之一。

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  • Moreover, we research the application of OLAP and data mining technology in the data warehouse.

    并研究了OLAP及数据挖掘在该数据仓库中的应用。

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  • This paper introduced the characters of surface defects of hot strips and data mining thesis briefly at first.

    本文首先对热轧带钢表面质量缺陷发生的特点及数据挖掘理论进行了简单介绍。

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  • The knowledge discovery and data mining tool display their strong points in handling the great capacity database.

    知识发现及数据挖掘工具在处理海量数据库时显示了它们的长处。

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  • Inspired by Person of Interest, an array of shows featuring artificial intelligence and data mining have been released.

    受《疑犯追踪》的启发,一批主打人工智能和数据挖掘的电视剧接踵而来。

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  • Multidimensional scaling is a powerful tool for dimensionality reduction in the field of pattern recognition and data mining.

    多维尺度分析是模式识别与数据挖掘领域一个有力的降维工具。

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  • This paper analyzes the relationship between econometrics and data mining in depth based on the conceptions of those two fields.

    从数量经济学和数据挖掘的概念出发,分析了这两个领域的联系与区别。

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  • The paper describes the concepts and relationship of BI and data mining briefly, and introduces the popular data mining algorithm.

    对商务智能、数据挖掘的概念和两者的关系做了简要的描述,并对当前流行的数据挖掘算法做了介绍。

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  • The ones that spoke of mainly are data warehouse and the data mart, OLAP and data mining, and show technologies in the front-ends.

    主要谈到的是数据仓库和数据集市、联机分析处理和数据挖掘以及前端展示技术。

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  • It is a process of spatial knowledge discovery and data mining. It sums up a modeling problem of the GIS-based reservoir evaluation.

    其本身就是一个空间知识发现和挖掘的过程,实质可归结为基于GIS的油气储层评价建模问题。

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  • This provider implements both the OLE DB specification and the specification's extensions for online analytical processing (OLAP) and data mining.

    该提供者实现了OLE DB的规范,以及联机分析处理(OLAP)和数据挖掘的扩展规范。

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  • Decision table is a kind of special and important knowledge system which has been applied in the decision support and data mining fields widely.

    决策表是一种特殊而重要的知识系统,在决策支持和数据挖掘等领域有着重要的应用。

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  • KDD and data mining was used in agriculture, but for the characteristics of agriculture area, normal data mining methods can't apply efficiently.

    KDD和数据挖掘技术在农业中得到应用,由于农业领域本身的特点,通常的数据挖掘技术得不到有效应用。

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  • SAS system can totally meet the demands of this model with its perfect data management functions, strong data analysis ability and data mining ability.

    SAS系统以其完善的数据管理功能、强大的数据分析能力和数据挖掘能力完全能够满足该模型的需要。

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  • Based on the customer-centric data warehouse, several methods for customer data analysis, such as query and report, OLAP and data mining, are introduced.

    基于建立的客户数据仓库,介绍了查询与报表、OLAP分析和数据挖掘等客户数据分析方法。

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  • The intrusion detection and data mining technology are elaborated and the intrusion detection system model is established applying data mining technology.

    扼要阐述了入侵检测和数据挖掘技术,并建立了采用数据挖掘技术的入侵检测系统模型。

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  • The intrusion detection and data mining technology are elaborated and the intrusion detection system model is established applying data mining technology.

    扼要阐述了入侵检测和数据挖掘技术,并建立了采用数据挖掘技术的入侵检测系统模型。

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