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首页> 外文期刊>Wiley interdisciplinary reviews. Data mining and knowledge discovery >An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects
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An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects

机译：监督描述规则发现中新兴模式挖掘的概述：分类，实证研究，趋势和前景

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> Emerging pattern mining is a data mining task that aims to discover discriminative patterns, which can describe emerging behavior with respect to a property of interest. In recent years, the description of datasets has become an interesting field due to the easy acquisition of knowledge by the experts. In this review, we will focus on the descriptive point of view of the task. We collect the existing approaches that have been proposed in the literature and group them together in a taxonomy in order to obtain a general vision of the task. A complete empirical study demonstrates the suitability of the approaches presented. This review also presents future trends and emerging prospects within pattern mining and the benefits of knowledge extracted from emerging patterns. WIREs Data Mining Knowl Discov 2018, 8:e1231. doi: 10.1002/widm.1231 > This article is categorized under: Fundamental Concepts of Data and Knowledge Knowledge Representation Fundamental Concepts of Data and Knowledge Motivation and Emergence of Data Mining
机译： > 新兴模式挖掘是一种数据挖掘任务，旨在发现歧视模式，这可以描述关于感兴趣的财产的新出现行为。近年来，由于专家轻松获取知识，对数据集的描述已成为一个有趣的领域。在本次审查中，我们将专注于任务的描述性观点。我们收集文献中提出的现有方法，并在分类学中将其分组，以获得任务的一般愿景。完整的实证研究表明了所呈现的方法的适用性。该评论还提出了未来的趋势和模式挖掘中的新兴前景，以及从新兴模式提取的知识的益处。 电线数据挖掘知识iscov 2018,8：E1231。 DOI：10.1002 / WIDM.1231 > 本文分类为： 数据和知识的基本概念和知识表示 数据和知识的基本概念和数据挖掘的动机和出现

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