• At the end it points out how to apply data mining applications in CRM.

    最后指出了如何在CRM中实施数据挖掘应用。

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  • It also has a general API, so you can embed WEKA, like any other library, in your own applications to such things as automated server-side data-mining tasks.

    它还有一个通用API,所以您可以像嵌入其他的库一样将WEKA嵌入到您自己的应用程序以完成诸如服务器端自动数据挖掘这样的任务。

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  • These business-optimized services are free of advertising or customer data mining and are not consumer applications that have been repurposed for business.

    这些针对业务进行优化的服务不需要进行宣传和数据挖掘,并且也不是针对业务重新改造的消费者应用程序。

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  • A sampling of these include weather prediction, data mining, genetic and biomedical engineering, and artificial intelligence applications. 5.

    这些问题的示例包括天气预报、数据挖掘、遗传和生物医学工程,及人工智能应用。

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  • My research areas include, but are not limited to, databases, data mining, security, social networks, Internet applications and some mathematics.

    我应该会在2010年毕业。我的研究领域包括:数据库、数据挖掘、安全、社会网络、互联网应用以及数学和其他。

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  • Linked data, semantic analysis, analytics and data mining all form a layer on top of the content-web that could serve as the foundation for the next series of applications and other added value.

    关联数据、语义分析、分析数据挖掘,这些都可以作为下一代网络产品和其它附加值的基础。

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  • Combining data mining into a mobile environment is a challenging research task, which has broad prospective applications.

    将数据挖掘应用到移动计算环境中是一项具有挑战性的研究课题,具有广阔的应用前景。

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  • The paper explores possible applications of Prior knowledge Support Vector Machine (P-SVM) based data mining algorithm in an automatic TCM syndrome classification system.

    目的:探讨带先验知识的支持向量机(P-SVM)数据挖掘算法在中医证候信息自动分类中的应用。

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  • Development and applications of spatial data mining systems have significant advancements over the recent years.

    近年来,空间数据挖掘系统的开发及应用已取得了极大的进展。

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  • Then, the recent applications of the ant colony algorithm in discrete optimization, data mining and other field are summarized.

    然后总结了近年来蚁群算法在组合优化、数据挖掘等领域的应用进展;

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  • This article focuses on applications of data mining technology in industrial production, business, networking, medical areas, and introduces some successful application cases.

    本文主要阐述了数据挖掘技术在工业生产、商业、网络、医药这四个方面的应用,并介绍了一些成功的应用案例。

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  • This paper comprehensively introduces the concept, classification, task, methods and pricipal applications of data mining.

    本文综合介绍了数据挖掘的概念、分类、任务和方法,并展示了其丰富的应用领域。

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  • This paper discusses the Predictive Model Markup Language (PMML), and gives some examples of its applications in specific data mining tools.

    本文对预言模型标记语言(PMML)进行了讨论,并给出了它在具体数据挖掘工具中的应用实例。

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  • Data Mining share a wide range of potential commercial applications, knowledge management and knowledge discovery in the study of a promising new areas of application.

    数据挖掘有着广泛的商业应用潜能,是知识发现与知识管理研究中的一个很有应用价值的新领域。

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  • Clustering is a promising application technique for many fields including data mining, pattern recognition, image processing, compression and other business applications.

    数据聚类在数据挖掘、模式识别、图像处理和数据压缩等领域有着广泛的应用。

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  • As a new developing field, Data Mining Technology has made a lot of successful applications in many other fields.

    数据挖掘技术作为一个新兴的技术在许多领域都取得了成功的应用。

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  • The main point of this paper is to research the theories and applications of classifying and clustering which is suitable for large-scale science data mining.

    本文主要研究适合于大规模科学数据挖掘的分类和聚类的理论和应用。

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  • BI applications include the activities of decision support systems, query and reporting, online analytical processing (OLAP), statistical analysis, forecasting, and data mining.

    商务智能的应用包括支持性决策系统,提问及报告,在线分析程序,统计分析,预测及数据探测。

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  • The second part of this dissertation mainly focuses on the thermal engineering process operation optimization and some applications of the data mining technology in this field.

    文章第二部分的研究内容主要集中在热工过程运行优化以及数据信息采掘技术在这一领域内的一些实际应用。

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  • Many real domain applications of MAS, such as information retrieval and data mining on the WWW can be reduced to the problem of searching in an unknown environment.

    现在MAS中的许多具体应用问题也可以归结为对未知环境的搜索。比如WWW上的信息检索、数据发掘等。

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  • The grid technologies provide effective computational support for the applications. This paper introduces infrastructure of the grid and distributed data mining.

    对于以上的这些应用,网格技术提供了有效的支持,介绍了网格的基础设施以及分布式数据挖掘。

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  • Data mining currently is the research frontier within the information science field. It had success applications in many areas.

    数据挖掘是目前信息科学领域最前沿的研究课题之一,在许多领域均有成功的应用范例。

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  • With occurrences of many related applications, recently frequent episodes mining in event stream has become a hot research topic in data mining field.

    在事件流上挖掘频繁片断已经成为近来研究的热点,在很多应用中起到重要作用。

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  • Rough set theory is emerging as a powerful tool for dealing with vagueness and uncertainty of facts, which has important applications to artificial intelligence and data mining.

    粗糙集理论是一种新的处理模糊和不确定性知识的数学工具,在人工智能及数据挖掘等众多领域已经得到了广泛的应用。

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  • The similarity join, an important data mining primitive, can be successfully applied to speeding up applications such as similarity search, data analysis and data mining.

    相似连接作为数据挖掘的基元,可被用来大幅度提高相似搜索、数据分析和数据挖掘的速度。

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  • Association rule mining is one of major research directions in data mining and has tremendous applications in business, science and other domains.

    关联规则是其中一个主要的研究方向,有着广泛的应用价值。

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  • Association rule mining is one of major research directions in data mining and has tremendous applications in business, science and other domains.

    关联规则是其中一个主要的研究方向,有着广泛的应用价值。

    youdao

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