数据挖掘技术分析

Ke Zhu
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引用次数: 1

摘要

数据挖掘是近年来计算机科学的一个热门分支,在各个领域产生了巨大的影响。它是一种从大量数据中发现内在联系和意想不到的模式并从中获得某些广泛结论的技术。目前,为了从各个方面处理数据,提高数据分析的速度和准确性,开发和使用了许多数据挖掘技术。考虑到数据挖掘技术结合了来自多个领域的知识,本文将概述用于数据挖掘的时态技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Techniques for Data Mining
Data mining has been a popular branch of computer science in recent years with great impact in different areas. It is a technique to find the inner connection, the unexpected pattern from a large amount of data and to obtain certain broad conclusions from it. Currently, many data mining techniques are developed and used in order to process data from various aspects and to improve the speed and accuracy of data analysis. Considering that data mining techniques combine knowledge from multiple domains, this article will present an overview of temporal techniques for data mining.
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