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Introduction to Part IV: Data Mining and Web-Knowledge Management

机译:第四部分介绍:数据挖掘和网络知识管理

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The field of data mining comprises the design and analysis of efficient methods for the extraction of patterns from large data sets. Interest in this field has grown enormously over the past decade. The many scientific, industrial, and commercial applications of data mining include genetic analysis, intrusion detection, and personalization for electronic commerce. The first International Workshop on Rule-Based Data Mining, RBDM2001, held in conjunction with the 14th International Conference on Applications of Prolog (INAP2001), focused on data mining techniques, tools, and applications that employ a rule-based formalism as a primary component. Twelve papers from eight different countries were submitted to RBDM2001. Of these, six were accepted for inclusion in the conference proceedings. Three of these papers appear in the present collection and are briefly described below.
机译:数据挖掘领域包括从大数据集提取模式的有效方法的设计和分析。在过去的十年里,对这一领域的兴趣已经变得极大。数据挖掘的许多科学,工业和商业应用包括电子商务的遗传分析,入侵检测和个性化。基于规则的数据挖掘的第一个国际研讨会RBDM2001与第14届Prolog(INAP2001)的国际会议一起举行,专注于采用基于规则的形式主义作为主要组成部分的数据挖掘技术,工具和应用程序。来自八个不同国家的十二篇论文提交给RBDM2001。其中,六人被接受纳入会议诉讼。这些论文中的三个出现在本收集中,并在下面简要描述。

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