The construction of undergraduate data mining course in the big data age

Xiaofang Zhang, Xiaotao Huang, Fen Wang
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引用次数: 3

Abstract

Data mining technology is the key technology and core content of big data age. The undergraduate data mining course introduces the basic concepts, basic principles and application techniques of data mining, as well as the characteristics and new technologies of data mining under the background of big data. According to the characteristics of undergraduate students, the curriculum should weaken the theory and algorithm as much as possible, and emphasizing the application. Through analysis and experiment on various examples, to enable students to face the specific application problems, can use the SPSS Modeler to designing a data processing, select the appropriate data mining method, and finally get the ideal results of data mining.
大数据时代的本科数据挖掘课程建设
数据挖掘技术是大数据时代的关键技术和核心内容。本科数据挖掘课程介绍了数据挖掘的基本概念、基本原理和应用技术,以及大数据背景下数据挖掘的特点和新技术。根据本科学生的特点,课程设置应尽量弱化理论和算法,强调应用。通过对各种实例的分析和实验,使学生能够面对具体的应用问题,能够利用SPSS Modeler来设计一个数据处理,选择合适的数据挖掘方法,最终得到理想的数据挖掘结果。
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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