A Review: Data Mining Techniques and Its Applications

Amal Abdulbaqi Maryoosh, E. Hussein
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Abstract

Data mining is a set of processes by which knowledge is extracted from huge amounts of data. Data mining is used to extract useful patterns and hidden information from this data. Machine learning techniques help in the comprehension of the hidden knowledge in the data. Data mining is considered an important field of research and is used in many different fields such as fraud detection, financial banking, education, healthcare, agriculture, industry, etc. In this paper, we will highlight some fundamentals of data mining and its applications. Also, we will conduct a comparative study among different reviews, combining literary studies that employed data mining techniques in various fields and reviewing the latest developments in this field.
数据挖掘技术及其应用综述
数据挖掘是从大量数据中提取知识的一系列过程。数据挖掘用于从这些数据中提取有用的模式和隐藏的信息。机器学习技术有助于理解数据中隐藏的知识。数据挖掘被认为是一个重要的研究领域,并被用于许多不同的领域,如欺诈检测、金融银行、教育、医疗保健、农业、工业等。在本文中,我们将重点介绍数据挖掘的一些基础知识及其应用。同时,我们将在不同的综述之间进行比较研究,结合各个领域使用数据挖掘技术的文献研究,回顾该领域的最新进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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