大数据时代的本科数据挖掘课程建设  

Data mining course construction in the era of big data

作　　者：张晓芳[1] 黄晓涛[1] 王芬[1] 

机构地区：[1]华中科技大学网络与计算中心,湖北武汉430074

出　　处：《计算机时代》2016年第9期76-79,共4页Computer Era

基　　金：2015教育部人文社科基金项目"校企深度合作大数据人才培养模式研究和实践"(15JDGC015)

摘　　要：数据挖掘技术是大数据时代的关键技术和核心内容。本科数据挖掘课程系统地介绍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及新技术。针对本科生的特点,课程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,使学生面对具体应用问题时,能够利用SPSS Modeler设计数据处理的过程,选取合适的数据挖掘方法,并最终得到较理想的数据挖掘结果。Data mining technology is the key technology and core content of the era of big data. The basic concept, basic principle and application technology of data mining are introduced in this undergraduate course, and the characteristics and new technology of data mining in the background of big data are also introduced. Aiming at the characteristics of undergraduate, the course tries to weaken the theory and algorithm, emphasizing the application. Through analysis and experiments on a variety of examples, when faced with a specific application, students can use SPSS modeler to design data processing process, select the appropriate data mining methods, and eventually get ideal results in data mining.

关 键 词：大数据 数据挖掘 本科课程 SPSS MODELER 

分 类 号：G420[文化科学—课程与教学论]