与史忠植教授的对话

Zhongzhi Shi
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引用次数: 1

摘要

从数据中发现知识(KDD)或数据挖掘是一个广泛的领域,它集成了多个领域的技术,包括机器学习、统计学、模式识别、人工智能和数据库系统,用于分析大量数据。在这些领域中已经有大量的数据挖掘算法来执行不同的数据分析任务。在中国,我们可以将KDD划分为3个里程碑:一个与机器学习算法相关,一个与数据集集成知识发现相关,一个与分布式并行KDD相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A conversation with Professor Zhongzhi Shi
Knowledge Discovery from Data (KDD) or Data Mining is a broad area that integrates techniques from several fields including machine learning, statistics, pattern recognition, artificial intelligence, and database systems, for the analysis of large volumes of data. There have been a large number of data mining algorithms rooted in these fields to perform different data analysis tasks. In China, we can divide KDD into 3 milestones: one that is related to machine learning algorithms, one for integrated knowledge discovery from datasets, and one for distributed and parallel KDD.
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